2019
|
Chairet, Radhia; Salem, Yassine Ben; Aoun, Mohamed Features extraction and land cover classification using Sentinel 2 data Conférence 2019, (Cited by: 6). @conference{Chairet2019497b,
title = {Features extraction and land cover classification using Sentinel 2 data},
author = {Radhia Chairet and Yassine Ben Salem and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067108312\&doi=10.1109%2fSTA.2019.8717307\&partnerID=40\&md5=bcfc51b9382e64ab682bed56c2eded1f},
doi = {10.1109/STA.2019.8717307},
year = {2019},
date = {2019-01-01},
journal = {19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019},
pages = {497 \textendash 500},
abstract = {Since 2015, the Sentinel 2 satellite provides a medium to high spatial resolution (10m-30m) images. For studying the land cover of Gabes area, located in the South- East of Tunisia, we exploited the 10 m bands of this satellite. We have tested the supervised classification with the SVM classifier. The classification is preceded by a segmentation step. The spectral data, the vegetation index and the texture metrics (GLCM) are used for training. The best Overall Accuracy OA (92, 12%) is obtained when all the used features are combined. © 2019 IEEE.},
note = {Cited by: 6},
keywords = {Automation, Classification (of information), Extraction, Features extraction, GLCM, High spatial resolution, Image segmentation, Land cover classification, NDVI, Overall accuracies, Process control, Sentinel 2, supervised classification, Textures},
pubstate = {published},
tppubtype = {conference}
}
Since 2015, the Sentinel 2 satellite provides a medium to high spatial resolution (10m-30m) images. For studying the land cover of Gabes area, located in the South- East of Tunisia, we exploited the 10 m bands of this satellite. We have tested the supervised classification with the SVM classifier. The classification is preceded by a segmentation step. The spectral data, the vegetation index and the texture metrics (GLCM) are used for training. The best Overall Accuracy OA (92, 12%) is obtained when all the used features are combined. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Tracking Control Design for Fractional Systems with Time Delay Conférence 2019, (Cited by: 0). @conference{Atitallah2019280b,
title = {Tracking Control Design for Fractional Systems with Time Delay},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067126817\&doi=10.1109%2fSTA.2019.8717225\&partnerID=40\&md5=8533279ab21aee4982e90554b48e071f},
doi = {10.1109/STA.2019.8717225},
year = {2019},
date = {2019-01-01},
journal = {19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019},
pages = {280 \textendash 285},
abstract = {Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Automation, Controller parameter, Delay control systems, Fault tolerant control, Fractional systems, Fractional-order systems, Navigation, Numerical methods, Process control, Reference modeling, Time delay, Timing circuits, Tracking controls},
pubstate = {published},
tppubtype = {conference}
}
Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE. |
Chairet, Radhia; Salem, Yassine Ben; Aoun, Mohamed Features extraction and land cover classification using Sentinel 2 data Conférence 2019, (Cited by: 6). @conference{Chairet2019497,
title = {Features extraction and land cover classification using Sentinel 2 data},
author = {Radhia Chairet and Yassine Ben Salem and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067108312\&doi=10.1109%2fSTA.2019.8717307\&partnerID=40\&md5=bcfc51b9382e64ab682bed56c2eded1f},
doi = {10.1109/STA.2019.8717307},
year = {2019},
date = {2019-01-01},
journal = {19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019},
pages = {497 \textendash 500},
abstract = {Since 2015, the Sentinel 2 satellite provides a medium to high spatial resolution (10m-30m) images. For studying the land cover of Gabes area, located in the South- East of Tunisia, we exploited the 10 m bands of this satellite. We have tested the supervised classification with the SVM classifier. The classification is preceded by a segmentation step. The spectral data, the vegetation index and the texture metrics (GLCM) are used for training. The best Overall Accuracy OA (92, 12%) is obtained when all the used features are combined. © 2019 IEEE.},
note = {Cited by: 6},
keywords = {Automation, Classification (of information), Extraction, Features extraction, GLCM, High spatial resolution, Image segmentation, Land cover classification, NDVI, Overall accuracies, Process control, Sentinel 2, supervised classification, Textures},
pubstate = {published},
tppubtype = {conference}
}
Since 2015, the Sentinel 2 satellite provides a medium to high spatial resolution (10m-30m) images. For studying the land cover of Gabes area, located in the South- East of Tunisia, we exploited the 10 m bands of this satellite. We have tested the supervised classification with the SVM classifier. The classification is preceded by a segmentation step. The spectral data, the vegetation index and the texture metrics (GLCM) are used for training. The best Overall Accuracy OA (92, 12%) is obtained when all the used features are combined. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Tracking Control Design for Fractional Systems with Time Delay Conférence 2019, (Cited by: 0). @conference{Atitallah2019280,
title = {Tracking Control Design for Fractional Systems with Time Delay},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067126817\&doi=10.1109%2fSTA.2019.8717225\&partnerID=40\&md5=8533279ab21aee4982e90554b48e071f},
doi = {10.1109/STA.2019.8717225},
year = {2019},
date = {2019-01-01},
journal = {19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019},
pages = {280 \textendash 285},
abstract = {Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Automation, Controller parameter, Delay control systems, Fault tolerant control, Fractional systems, Fractional-order systems, Navigation, Numerical methods, Process control, Reference modeling, Time delay, Timing circuits, Tracking controls},
pubstate = {published},
tppubtype = {conference}
}
Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE. |
2017
|
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). @conference{Atitallah2017284b,
title = {Diagnosis of time-delay fractional systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024400530\&doi=10.1109%2fSTA.2016.7952042\&partnerID=40\&md5=7df0719cec19ecdfbff3cbb2ec3bfeda},
doi = {10.1109/STA.2016.7952042},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {284 \textendash 292},
abstract = {In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method's validity in detecting faults is finally presented. © 2016 IEEE.},
note = {Cited by: 3},
keywords = {Automation, Bilinear matrix inequality, Convergence conditions, Convergence of numerical methods, Delay control systems, Diagnosis, Fault detection, Fault indicators, Fractional systems, Fractional-order systems, Luenberger observers, Model based diagnosis, Numerical methods, Process control, residual, Time delay},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method’s validity in detecting faults is finally presented. © 2016 IEEE. |
Yakoub, Z.; Chetoui, M.; Amairi, M.; Aoun, M. A comparison between the direct and the indirect fractional order closed-loop bias eliminated least squares method Conférence 2017, (Cited by: 0). @conference{Yakoub2017271b,
title = {A comparison between the direct and the indirect fractional order closed-loop bias eliminated least squares method},
author = {Z. Yakoub and M. Chetoui and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024378403\&doi=10.1109%2fSTA.2016.7951978\&partnerID=40\&md5=f96317e305a1fb9879331639139ecc89},
doi = {10.1109/STA.2016.7951978},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {271 \textendash 282},
abstract = {This paper deals with the fractional closed-loop system identification. A comparison between the direct and the indirect approach is processed. The fractional order bias eliminated least squares method is used to identify the fractional closed-loop transfer function. This method is founded on the ordinary least squares method and the state variable filter. A numerical example is treated to show the efficiency of each approach and discuss results. © 2016 IEEE.},
note = {Cited by: 0},
keywords = {Automation, Closed loops, Direct approach, Fractional differentiation, Identification (control systems), indirect approach, Least Square, Least squares approximations, Process control},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with the fractional closed-loop system identification. A comparison between the direct and the indirect approach is processed. The fractional order bias eliminated least squares method is used to identify the fractional closed-loop transfer function. This method is founded on the ordinary least squares method and the state variable filter. A numerical example is treated to show the efficiency of each approach and discuss results. © 2016 IEEE. |
Achnib, Asma; Chetoui, Manel; Lanusse, Patrick; Aoun, Mohamed A comparative study of the output and the state feedback predictive control Conférence 2017, (Cited by: 1). @conference{Achnib201734b,
title = {A comparative study of the output and the state feedback predictive control},
author = {Asma Achnib and Manel Chetoui and Patrick Lanusse and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024379902\&doi=10.1109%2fSTA.2016.7952029\&partnerID=40\&md5=779b88cd1e20f8d1c6c3614eb10555e4},
doi = {10.1109/STA.2016.7952029},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {34 \textendash 41},
abstract = {In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: The output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with the help of two examples. © 2016 IEEE.},
note = {Cited by: 1},
keywords = {Automation, Comparative studies, Feedback, Model predictive control, Output feedback, Predictive control, Process control, Robustness (control systems), State feedback, State feedback predictive control, System models},
pubstate = {published},
tppubtype = {conference}
}
In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: The output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with the help of two examples. © 2016 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). @conference{Atitallah2017284,
title = {Diagnosis of time-delay fractional systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024400530\&doi=10.1109%2fSTA.2016.7952042\&partnerID=40\&md5=7df0719cec19ecdfbff3cbb2ec3bfeda},
doi = {10.1109/STA.2016.7952042},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {284 \textendash 292},
abstract = {In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method's validity in detecting faults is finally presented. © 2016 IEEE.},
note = {Cited by: 3},
keywords = {Automation, Bilinear matrix inequality, Convergence conditions, Convergence of numerical methods, Delay control systems, Diagnosis, Fault detection, Fault indicators, Fractional systems, Fractional-order systems, Luenberger observers, Model based diagnosis, Numerical methods, Process control, residual, Time delay},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method’s validity in detecting faults is finally presented. © 2016 IEEE. |
Achnib, Asma; Chetoui, Manel; Lanusse, Patrick; Aoun, Mohamed A comparative study of the output and the state feedback predictive control Conférence 2017, (Cited by: 1). @conference{Achnib201734,
title = {A comparative study of the output and the state feedback predictive control},
author = {Asma Achnib and Manel Chetoui and Patrick Lanusse and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024379902\&doi=10.1109%2fSTA.2016.7952029\&partnerID=40\&md5=779b88cd1e20f8d1c6c3614eb10555e4},
doi = {10.1109/STA.2016.7952029},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {34 \textendash 41},
abstract = {In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: The output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with the help of two examples. © 2016 IEEE.},
note = {Cited by: 1},
keywords = {Automation, Comparative studies, Feedback, Model predictive control, Output feedback, Predictive control, Process control, Robustness (control systems), State feedback, State feedback predictive control, System models},
pubstate = {published},
tppubtype = {conference}
}
In this paper the effectiveness of predictive control in the problems of tracking and control is studied. The principle and the implementation of the algorithm of this control are presented. In this work, two approaches using different system models are developed: The output feedback and the state feedback predictive control. The performances and the robustness of both approaches are assessed with the help of two examples. © 2016 IEEE. |
2016
|
Gasmi, N.; Thabet, A.; Boutayeb, M.; Aoun, M. Ob_server design fo a class of nonlinear discrete time systems Conférence 2016, (Cited by: 8). @conference{Gasmi2016799b,
title = {Ob_server design fo a class of nonlinear discrete time systems},
author = {N. Gasmi and A. Thabet and M. Boutayeb and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979691968\&doi=10.1109%2fSTA.2015.7505084\&partnerID=40\&md5=c0a9f25a510a1303bdee32a74f93b688},
doi = {10.1109/STA.2015.7505084},
year = {2016},
date = {2016-01-01},
journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},
pages = {799 \textendash 804},
abstract = {This paper focuses in the observer design for non-linear discrete time systems. The main objective is the application of the Differential Mean Value Theorem (DMVT) to transform the nonlinear dynamics error to a linear parameter varying (LPV) system. This aims to introduce a less restrictive condition on the nonlinear functions. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). For comparison, an observer based on the utilization of the One-Sided Lipschitz condition is introduced. High performances are shown through numerical simulation. © 2015 IEEE.},
note = {Cited by: 8},
keywords = {Asymptotic stability, Automation, Differential mean value theorems, Digital control systems, Discrete time control systems, Linear matrix inequalities, Linear parameter varying systems, Mathematical transformations, Nonlinear discrete-time systems, Nonlinear functions, Observer design, Observer-based, One-sided Lipschitz condition, Process control, Restrictive conditions},
pubstate = {published},
tppubtype = {conference}
}
This paper focuses in the observer design for non-linear discrete time systems. The main objective is the application of the Differential Mean Value Theorem (DMVT) to transform the nonlinear dynamics error to a linear parameter varying (LPV) system. This aims to introduce a less restrictive condition on the nonlinear functions. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). For comparison, an observer based on the utilization of the One-Sided Lipschitz condition is introduced. High performances are shown through numerical simulation. © 2015 IEEE. |
Frej, G. Bel Haj; Thabet, A.; Boutayeb, M.; Aoun, M. Decentralized observers of a large class of nonlinear interconnected systems Conférence 2016, (Cited by: 1). @conference{BelHajFrej2016905b,
title = {Decentralized observers of a large class of nonlinear interconnected systems},
author = {G. Bel Haj Frej and A. Thabet and M. Boutayeb and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979657055\&doi=10.1109%2fSTA.2015.7505091\&partnerID=40\&md5=51044233aec05c7e771789c2852c0f99},
doi = {10.1109/STA.2015.7505091},
year = {2016},
date = {2016-01-01},
journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},
pages = {905 \textendash 910},
abstract = {The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE.},
note = {Cited by: 1},
keywords = {Asymptotic stability, Automation, Control matrices, Decentralized state observers, Differential mean value theorems, Linear matrix inequalities, Matrix algebra, Non linear, Nonlinear interconnected systems, Process control},
pubstate = {published},
tppubtype = {conference}
}
The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE. |
Chouki, Rihab; Aribi, Asma; Aoun, Mohamed; Abdelkarim, Mohamed N. Additive fault tolerant control for fractional order model systems Conférence 2016, (Cited by: 6). @conference{Chouki2016340b,
title = {Additive fault tolerant control for fractional order model systems},
author = {Rihab Chouki and Asma Aribi and Mohamed Aoun and Mohamed N. Abdelkarim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979671278\&doi=10.1109%2fSTA.2015.7505227\&partnerID=40\&md5=6704d86caedf5e247753ba423958421a},
doi = {10.1109/STA.2015.7505227},
year = {2016},
date = {2016-01-01},
journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},
pages = {340 \textendash 345},
abstract = {The additive fault tolerant control (FTC) for the fractional order model is presented, in this paper. Hence, two steps are compulsory in order to design the additive control. The first one being the estimation of the sensor fault amplitude which is realized by using the fractional Luenberger observer and the second one consists in generating the additive fault tolerant control law and then sum it to the nominal control of the fractional order model. © 2015 IEEE.},
note = {Cited by: 6},
keywords = {Additive faults, Automation, Fault tolerance, Fractional order models, Luenberger observers, Process control, Sensor fault},
pubstate = {published},
tppubtype = {conference}
}
The additive fault tolerant control (FTC) for the fractional order model is presented, in this paper. Hence, two steps are compulsory in order to design the additive control. The first one being the estimation of the sensor fault amplitude which is realized by using the fractional Luenberger observer and the second one consists in generating the additive fault tolerant control law and then sum it to the nominal control of the fractional order model. © 2015 IEEE. |
Gasmi, N.; Thabet, A.; Boutayeb, M.; Aoun, M. Ob_server design fo a class of nonlinear discrete time systems Conférence 2016, (Cited by: 8). @conference{Gasmi2016799,
title = {Ob_server design fo a class of nonlinear discrete time systems},
author = {N. Gasmi and A. Thabet and M. Boutayeb and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979691968\&doi=10.1109%2fSTA.2015.7505084\&partnerID=40\&md5=c0a9f25a510a1303bdee32a74f93b688},
doi = {10.1109/STA.2015.7505084},
year = {2016},
date = {2016-01-01},
journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},
pages = {799 \textendash 804},
abstract = {This paper focuses in the observer design for non-linear discrete time systems. The main objective is the application of the Differential Mean Value Theorem (DMVT) to transform the nonlinear dynamics error to a linear parameter varying (LPV) system. This aims to introduce a less restrictive condition on the nonlinear functions. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). For comparison, an observer based on the utilization of the One-Sided Lipschitz condition is introduced. High performances are shown through numerical simulation. © 2015 IEEE.},
note = {Cited by: 8},
keywords = {Asymptotic stability, Automation, Differential mean value theorems, Digital control systems, Discrete time control systems, Linear matrix inequalities, Linear parameter varying systems, Mathematical transformations, Nonlinear discrete-time systems, Nonlinear functions, Observer design, Observer-based, One-sided Lipschitz condition, Process control, Restrictive conditions},
pubstate = {published},
tppubtype = {conference}
}
This paper focuses in the observer design for non-linear discrete time systems. The main objective is the application of the Differential Mean Value Theorem (DMVT) to transform the nonlinear dynamics error to a linear parameter varying (LPV) system. This aims to introduce a less restrictive condition on the nonlinear functions. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). For comparison, an observer based on the utilization of the One-Sided Lipschitz condition is introduced. High performances are shown through numerical simulation. © 2015 IEEE. |
Frej, G. Bel Haj; Thabet, A.; Boutayeb, M.; Aoun, M. Decentralized observers of a large class of nonlinear interconnected systems Conférence 2016, (Cited by: 1). @conference{BelHajFrej2016905c,
title = {Decentralized observers of a large class of nonlinear interconnected systems},
author = {G. Bel Haj Frej and A. Thabet and M. Boutayeb and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979657055\&doi=10.1109%2fSTA.2015.7505091\&partnerID=40\&md5=51044233aec05c7e771789c2852c0f99},
doi = {10.1109/STA.2015.7505091},
year = {2016},
date = {2016-01-01},
journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},
pages = {905 \textendash 910},
abstract = {The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE.},
note = {Cited by: 1},
keywords = {Asymptotic stability, Automation, Control matrices, Decentralized state observers, Differential mean value theorems, Linear matrix inequalities, Matrix algebra, Non linear, Nonlinear interconnected systems, Process control},
pubstate = {published},
tppubtype = {conference}
}
The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE. |
Chouki, Rihab; Aribi, Asma; Aoun, Mohamed; Abdelkarim, Mohamed N. Additive fault tolerant control for fractional order model systems Conférence 2016, (Cited by: 6). @conference{Chouki2016340,
title = {Additive fault tolerant control for fractional order model systems},
author = {Rihab Chouki and Asma Aribi and Mohamed Aoun and Mohamed N. Abdelkarim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979671278\&doi=10.1109%2fSTA.2015.7505227\&partnerID=40\&md5=6704d86caedf5e247753ba423958421a},
doi = {10.1109/STA.2015.7505227},
year = {2016},
date = {2016-01-01},
journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},
pages = {340 \textendash 345},
abstract = {The additive fault tolerant control (FTC) for the fractional order model is presented, in this paper. Hence, two steps are compulsory in order to design the additive control. The first one being the estimation of the sensor fault amplitude which is realized by using the fractional Luenberger observer and the second one consists in generating the additive fault tolerant control law and then sum it to the nominal control of the fractional order model. © 2015 IEEE.},
note = {Cited by: 6},
keywords = {Additive faults, Automation, Fault tolerance, Fractional order models, Luenberger observers, Process control, Sensor fault},
pubstate = {published},
tppubtype = {conference}
}
The additive fault tolerant control (FTC) for the fractional order model is presented, in this paper. Hence, two steps are compulsory in order to design the additive control. The first one being the estimation of the sensor fault amplitude which is realized by using the fractional Luenberger observer and the second one consists in generating the additive fault tolerant control law and then sum it to the nominal control of the fractional order model. © 2015 IEEE. |
2014
|
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Modeling and control of a quadrotor UAV Conférence 2014, (Cited by: 20). @conference{Walid2014343b,
title = {Modeling and control of a quadrotor UAV},
author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949924882\&doi=10.1109%2fSTA.2014.7086762\&partnerID=40\&md5=db71272eff7a282d2cd18cd653d2cd93},
doi = {10.1109/STA.2014.7086762},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {343 \textendash 348},
abstract = {In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting field of research, especially for Vertical Take-Off and Landing vehicles (VTOL), due to the needs to such system, the simplicity of their construction and due to the important technological advances in control boards, sensors, communication tools, energy storage. In this paper, a mathematical model has been developed with Lagrange formalism and a control approach based on Proportional Derivative PD controller has been built and provided with numerical simulation in MATLAB/Simulink. © 2014 IEEE.},
note = {Cited by: 20},
keywords = {Automation, Communication tools, Lagrange formalism, MATLAB, Modeling and control, Models, PD control, Proportional derivatives, Quad rotors, Technological advances, Trajectories, Unmanned aerial vehicles (UAV), Vehicle to vehicle communications, Vehicles, Vertical take-off and landings},
pubstate = {published},
tppubtype = {conference}
}
In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting field of research, especially for Vertical Take-Off and Landing vehicles (VTOL), due to the needs to such system, the simplicity of their construction and due to the important technological advances in control boards, sensors, communication tools, energy storage. In this paper, a mathematical model has been developed with Lagrange formalism and a control approach based on Proportional Derivative PD controller has been built and provided with numerical simulation in MATLAB/Simulink. © 2014 IEEE. |
Hmed, A. Ben; Amairi, M.; Aoun, M. Fractional order controller design using time-domain specifications Conférence 2014, (Cited by: 1). @conference{BenHmed2014462b,
title = {Fractional order controller design using time-domain specifications},
author = {A. Ben Hmed and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983113529\&doi=10.1109%2fSTA.2014.7086744\&partnerID=40\&md5=9a013474680a6de39951b74183cb77ce},
doi = {10.1109/STA.2014.7086744},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {462 \textendash 467},
abstract = {This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE.},
note = {Cited by: 1},
keywords = {Automation, Closed loop systems, Closed-loop behavior, Control design, Controller designs, Controllers, Convergence of numerical methods, Design, Fractional controllers, Fractional systems, Fractional-order controllers, Numerical methods, Resonance, Time domain, Time domain analysis, Time-domain specifications},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE. |
Saidi, B.; Amairi, M.; Najar, S.; Aoun, M. Min-Max optimization-based design of fractional PID controller Conférence 2014, (Cited by: 3). @conference{Saidi2014468b,
title = {Min-Max optimization-based design of fractional PID controller},
author = {B. Saidi and M. Amairi and S. Najar and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983109471\&doi=10.1109%2fSTA.2014.7086745\&partnerID=40\&md5=6eeb92ac9f210d24ef95f1d1e273f5f4},
doi = {10.1109/STA.2014.7086745},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {468 \textendash 473},
abstract = {This paper deals with a new design method of a fractional PID controller. The proposed method is based on a numerical constrained Min-Max optimization algorithm. Its main objective is the improvement of the transient response, the stability margin, the robustness and the load disturbance rejection capability. All these performances are tested through a simulation example. © 2014 IEEE.},
note = {Cited by: 3},
keywords = {Algorithms, Automation, Calculations, Constrained optimization, Convergence of numerical methods, Design method, Disturbance rejection, Electric control equipment, Fractional calculus, Fractional pid controllers, Load disturbance rejection capabilities, Min-max optimization, Numerical methods, Optimization, Proportional control systems, Robustness (control systems), Simulation example, Stability margins, Three term control systems},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with a new design method of a fractional PID controller. The proposed method is based on a numerical constrained Min-Max optimization algorithm. Its main objective is the improvement of the transient response, the stability margin, the robustness and the load disturbance rejection capability. All these performances are tested through a simulation example. © 2014 IEEE. |
Walid, Mizouri; Slaheddine, Najar; Mohamed, Aoun; Lamjed, Bouabdallah Modeling and control of a quadrotor UAV Conférence 2014, (Cited by: 20). @conference{Walid2014343,
title = {Modeling and control of a quadrotor UAV},
author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949924882\&doi=10.1109%2fSTA.2014.7086762\&partnerID=40\&md5=db71272eff7a282d2cd18cd653d2cd93},
doi = {10.1109/STA.2014.7086762},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {343 \textendash 348},
abstract = {In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting field of research, especially for Vertical Take-Off and Landing vehicles (VTOL), due to the needs to such system, the simplicity of their construction and due to the important technological advances in control boards, sensors, communication tools, energy storage. In this paper, a mathematical model has been developed with Lagrange formalism and a control approach based on Proportional Derivative PD controller has been built and provided with numerical simulation in MATLAB/Simulink. © 2014 IEEE.},
note = {Cited by: 20},
keywords = {Automation, Communication tools, Lagrange formalism, MATLAB, Modeling and control, Models, PD control, Proportional derivatives, Quad rotors, Technological advances, Trajectories, Unmanned aerial vehicles (UAV), Vehicle to vehicle communications, Vehicles, Vertical take-off and landings},
pubstate = {published},
tppubtype = {conference}
}
In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting field of research, especially for Vertical Take-Off and Landing vehicles (VTOL), due to the needs to such system, the simplicity of their construction and due to the important technological advances in control boards, sensors, communication tools, energy storage. In this paper, a mathematical model has been developed with Lagrange formalism and a control approach based on Proportional Derivative PD controller has been built and provided with numerical simulation in MATLAB/Simulink. © 2014 IEEE. |
Hmed, A. Ben; Amairi, M.; Aoun, M. Fractional order controller design using time-domain specifications Conférence 2014, (Cited by: 1). @conference{BenHmed2014462c,
title = {Fractional order controller design using time-domain specifications},
author = {A. Ben Hmed and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983113529\&doi=10.1109%2fSTA.2014.7086744\&partnerID=40\&md5=9a013474680a6de39951b74183cb77ce},
doi = {10.1109/STA.2014.7086744},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {462 \textendash 467},
abstract = {This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE.},
note = {Cited by: 1},
keywords = {Automation, Closed loop systems, Closed-loop behavior, Control design, Controller designs, Controllers, Convergence of numerical methods, Design, Fractional controllers, Fractional systems, Fractional-order controllers, Numerical methods, Resonance, Time domain, Time domain analysis, Time-domain specifications},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE. |
2002
|
Malti, Rachid; Cois, Olivier; Aoun, Mohammed; Levron, François; Oustaloup, Alain Energy of fractional order transfer functions Conférence vol. 15, no. 1, 2002, (Cited by: 5; All Open Access, Bronze Open Access). @conference{Malti2002449b,
title = {Energy of fractional order transfer functions},
author = {Rachid Malti and Olivier Cois and Mohammed Aoun and Fran\c{c}ois Levron and Alain Oustaloup},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945534478\&doi=10.3182%2f20020721-6-es-1901.00156\&partnerID=40\&md5=ec06924b792120270d919ea8a5620e72},
doi = {10.3182/20020721-6-es-1901.00156},
year = {2002},
date = {2002-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {15},
number = {1},
pages = {449 \textendash 454},
abstract = {The objective of the paper is to compute the impulse response energy of a fractional order transfer function having a single mode. The differentiation order n, defined in the sense of Riemann-Liouville, is allowed to be a strictly positive real number. A necessary and sufficient condition is established on n, in order for the impulse response to belong to the Lebesgue space L2[0, ∞[ of square integrable functions on [0, ∞[. Copyright © 2002 IFAC.},
note = {Cited by: 5; All Open Access, Bronze Open Access},
keywords = {Automation, Calculations, Differentiation (calculus), Dynamical systems, Fractional calculus, Fractional order differentiations, Fractional order transfer function, Impulse response, Impulse response energy, Lebesgue space, Single mode, Square integrable, Strictly positive real, Transfer functions},
pubstate = {published},
tppubtype = {conference}
}
The objective of the paper is to compute the impulse response energy of a fractional order transfer function having a single mode. The differentiation order n, defined in the sense of Riemann-Liouville, is allowed to be a strictly positive real number. A necessary and sufficient condition is established on n, in order for the impulse response to belong to the Lebesgue space L2[0, ∞[ of square integrable functions on [0, ∞[. Copyright © 2002 IFAC. |
Aoun, Mohamed; Malti, Rachid; Cois, Olivier; Oustaloup, Alain System identification using fractional hammerstein models Conférence vol. 15, no. 1, 2002, (Cited by: 23). @conference{Aoun2002265b,
title = {System identification using fractional hammerstein models},
author = {Mohamed Aoun and Rachid Malti and Olivier Cois and Alain Oustaloup},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945550683\&doi=10.3182%2f20020721-6-es-1901.01030\&partnerID=40\&md5=106ff8852a5dbedf91e03c25f0e7bb03},
doi = {10.3182/20020721-6-es-1901.01030},
year = {2002},
date = {2002-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {15},
number = {1},
pages = {265 \textendash 269},
abstract = {Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC.},
note = {Cited by: 23},
keywords = {Automation, Continuous time systems, Fractional differentiation, Fractional model, Fractional order, Hammerstein model, Hammerstein-type models, Identification (control systems), Identification method, Linear systems, Non-linear modelling, Nonlinear systems, Riemann-liouville definitions},
pubstate = {published},
tppubtype = {conference}
}
Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC. |
Malti, Rachid; Cois, Olivier; Aoun, Mohammed; Levron, François; Oustaloup, Alain Energy of fractional order transfer functions Conférence vol. 15, no. 1, 2002, (Cited by: 5; All Open Access, Bronze Open Access). @conference{Malti2002449,
title = {Energy of fractional order transfer functions},
author = {Rachid Malti and Olivier Cois and Mohammed Aoun and Fran\c{c}ois Levron and Alain Oustaloup},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945534478\&doi=10.3182%2f20020721-6-es-1901.00156\&partnerID=40\&md5=ec06924b792120270d919ea8a5620e72},
doi = {10.3182/20020721-6-es-1901.00156},
year = {2002},
date = {2002-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {15},
number = {1},
pages = {449 \textendash 454},
abstract = {The objective of the paper is to compute the impulse response energy of a fractional order transfer function having a single mode. The differentiation order n, defined in the sense of Riemann-Liouville, is allowed to be a strictly positive real number. A necessary and sufficient condition is established on n, in order for the impulse response to belong to the Lebesgue space L2[0, ∞[ of square integrable functions on [0, ∞[. Copyright © 2002 IFAC.},
note = {Cited by: 5; All Open Access, Bronze Open Access},
keywords = {Automation, Calculations, Differentiation (calculus), Dynamical systems, Fractional calculus, Fractional order differentiations, Fractional order transfer function, Impulse response, Impulse response energy, Lebesgue space, Single mode, Square integrable, Strictly positive real, Transfer functions},
pubstate = {published},
tppubtype = {conference}
}
The objective of the paper is to compute the impulse response energy of a fractional order transfer function having a single mode. The differentiation order n, defined in the sense of Riemann-Liouville, is allowed to be a strictly positive real number. A necessary and sufficient condition is established on n, in order for the impulse response to belong to the Lebesgue space L2[0, ∞[ of square integrable functions on [0, ∞[. Copyright © 2002 IFAC. |
Aoun, Mohamed; Malti, Rachid; Cois, Olivier; Oustaloup, Alain System identification using fractional hammerstein models Conférence vol. 15, no. 1, 2002, (Cited by: 23). @conference{Aoun2002265,
title = {System identification using fractional hammerstein models},
author = {Mohamed Aoun and Rachid Malti and Olivier Cois and Alain Oustaloup},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945550683\&doi=10.3182%2f20020721-6-es-1901.01030\&partnerID=40\&md5=106ff8852a5dbedf91e03c25f0e7bb03},
doi = {10.3182/20020721-6-es-1901.01030},
year = {2002},
date = {2002-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {15},
number = {1},
pages = {265 \textendash 269},
abstract = {Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC.},
note = {Cited by: 23},
keywords = {Automation, Continuous time systems, Fractional differentiation, Fractional model, Fractional order, Hammerstein model, Hammerstein-type models, Identification (control systems), Identification method, Linear systems, Non-linear modelling, Nonlinear systems, Riemann-liouville definitions},
pubstate = {published},
tppubtype = {conference}
}
Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC. |
