2022
|
Yakoub, Zaineb; Amairi, Messaoud; Chetoui, Manel; Aoun, Mohamed Bias Recursive Least Squares Method for Fractional Order System Identification Conférence 2022, (Cited by: 0). @conference{Yakoub20221003b,
title = {Bias Recursive Least Squares Method for Fractional Order System Identification},
author = {Zaineb Yakoub and Messaoud Amairi and Manel Chetoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143798506\&doi=10.1109%2fSSD54932.2022.9955869\&partnerID=40\&md5=33815d9cbb662e9c28d357625582a869},
doi = {10.1109/SSD54932.2022.9955869},
year = {2022},
date = {2022-01-01},
journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},
pages = {1003 \textendash 1008},
abstract = {This paper mainly studies the modeling and identification problems for fractional order systems. A novel modeling scheme based on an online identification technique is investigated. Firstly, the recursive least squares algorithm is applied to identify the fractional order system. However, if the measurement of the output signal is affected by an additive noise this algorithm is unable to give consistent estimates. Thus, this contribution implements a technique based on the bias compensation principle. The main idea is to eliminate the introduced bias by adding a correction term in the recursive least squares estimates. The results of the simulated example indicate that the proposed estimator provides good accuracy. © 2022 IEEE.},
note = {Cited by: 0},
keywords = {Additive noise, Algebra, Bias compensation, Fractional order, Fractional order differentiation, Fractional-order systems, Identification, Least Square, Least squares approximations, Model problems, Modelling and identifications, Recursive least-squares method, System-identification},
pubstate = {published},
tppubtype = {conference}
}
This paper mainly studies the modeling and identification problems for fractional order systems. A novel modeling scheme based on an online identification technique is investigated. Firstly, the recursive least squares algorithm is applied to identify the fractional order system. However, if the measurement of the output signal is affected by an additive noise this algorithm is unable to give consistent estimates. Thus, this contribution implements a technique based on the bias compensation principle. The main idea is to eliminate the introduced bias by adding a correction term in the recursive least squares estimates. The results of the simulated example indicate that the proposed estimator provides good accuracy. © 2022 IEEE. |
2019
|
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. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). @conference{Atitallah2019399b,
title = {Fault estimation using adaptive observer-based technique for time delay fractional-order systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074421838\&doi=10.1109%2fASET.2019.8871006\&partnerID=40\&md5=ee4994e2c9873cf3aca7262af2383d7b},
doi = {10.1109/ASET.2019.8871006},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},
pages = {399 \textendash 405},
abstract = {This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits},
pubstate = {published},
tppubtype = {conference}
}
This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 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. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). @conference{Atitallah2019399,
title = {Fault estimation using adaptive observer-based technique for time delay fractional-order systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074421838\&doi=10.1109%2fASET.2019.8871006\&partnerID=40\&md5=ee4994e2c9873cf3aca7262af2383d7b},
doi = {10.1109/ASET.2019.8871006},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},
pages = {399 \textendash 405},
abstract = {This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits},
pubstate = {published},
tppubtype = {conference}
}
This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
2018
|
Hamdi, Saif Eddine; Amairi, Messaoud; Aoun, Mohamed Recursive set-membership parameter estimation of fractional systems using orthotopic approach Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 40, no. 15, p. 4185 – 4197, 2018, (Cited by: 5). @article{Hamdi20184185b,
title = {Recursive set-membership parameter estimation of fractional systems using orthotopic approach},
author = {Saif Eddine Hamdi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045302403\&doi=10.1177%2f0142331217744853\&partnerID=40\&md5=40ffcf990575c0015868048fce18b27a},
doi = {10.1177/0142331217744853},
year = {2018},
date = {2018-01-01},
journal = {Transactions of the Institute of Measurement and Control},
volume = {40},
number = {15},
pages = {4185 \textendash 4197},
abstract = {In this paper, set-membership parameter estimation of linear fractional-order systems is addressed for the case of unknown-but-bounded equation error. In such bounded-error context with a-priori known noise bounds, the main goal is to characterize the set of all feasible parameters. This characterization is performed using an orthotopic strategy adapted for fractional system parameter estimation. In the case of a fractional commensurate system, an iterative algorithm is proposed to deal with commensurate-order estimation. The performances of the proposed algorithm are illustrated by a numerical example via a Monte Carlo simulation. © The Author(s) 2018.},
note = {Cited by: 5},
keywords = {Bounded error context, Bounded errors, Errors, Fractional systems, Fractional-order systems, Iterative algorithm, Iterative methods, Monte Carlo methods, Order estimation, Parameter estimation, Set membership approach, Unknown but bounded},
pubstate = {published},
tppubtype = {article}
}
In this paper, set-membership parameter estimation of linear fractional-order systems is addressed for the case of unknown-but-bounded equation error. In such bounded-error context with a-priori known noise bounds, the main goal is to characterize the set of all feasible parameters. This characterization is performed using an orthotopic strategy adapted for fractional system parameter estimation. In the case of a fractional commensurate system, an iterative algorithm is proposed to deal with commensurate-order estimation. The performances of the proposed algorithm are illustrated by a numerical example via a Monte Carlo simulation. © The Author(s) 2018. |
2017
|
Raïssi, Tarek; Aoun, Mohamed On robust pseudo state estimation of fractional order systems Article de journal Dans: Lecture Notes in Control and Information Sciences, vol. 471, p. 97 – 111, 2017, (Cited by: 3). @article{Ra\"{i}ssi201797b,
title = {On robust pseudo state estimation of fractional order systems},
author = {Tarek Ra\"{i}ssi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017515441\&doi=10.1007%2f978-3-319-54211-9_8\&partnerID=40\&md5=1e73802a102fb9e5603ca4bcffa4ef46},
doi = {10.1007/978-3-319-54211-9_8},
year = {2017},
date = {2017-01-01},
journal = {Lecture Notes in Control and Information Sciences},
volume = {471},
pages = {97 \textendash 111},
abstract = {The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017.},
note = {Cited by: 3},
keywords = {Continuous time systems, Continuous-time linear systems, Estimation errors, Fractional dynamics, Fractional systems, Fractional-order systems, Interval observers, Linear systems, Measurement Noise, Robust estimation, State estimation, State space methods, Uncertainty analysis},
pubstate = {published},
tppubtype = {article}
}
The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 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. |
Raïssi, Tarek; Aoun, Mohamed On robust pseudo state estimation of fractional order systems Article de journal Dans: Lecture Notes in Control and Information Sciences, vol. 471, p. 97 – 111, 2017, (Cited by: 3). @article{Ra\"{i}ssi201797,
title = {On robust pseudo state estimation of fractional order systems},
author = {Tarek Ra\"{i}ssi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017515441\&doi=10.1007%2f978-3-319-54211-9_8\&partnerID=40\&md5=1e73802a102fb9e5603ca4bcffa4ef46},
doi = {10.1007/978-3-319-54211-9_8},
year = {2017},
date = {2017-01-01},
journal = {Lecture Notes in Control and Information Sciences},
volume = {471},
pages = {97 \textendash 111},
abstract = {The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017.},
note = {Cited by: 3},
keywords = {Continuous time systems, Continuous-time linear systems, Estimation errors, Fractional dynamics, Fractional systems, Fractional-order systems, Interval observers, Linear systems, Measurement Noise, Robust estimation, State estimation, State space methods, Uncertainty analysis},
pubstate = {published},
tppubtype = {article}
}
The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017. |
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. |
2013
|
Aribi, Asma; Aoun, Mohamed; Farges, Christophe; Najar, Slaheddine; Melchior, Pierre; Abdelkrim, Mohamed Naceur Generalied Fractional Obsevers Scheme to fault detection and isolation Conférence 2013, (Cited by: 8). @conference{Aribi2013b,
title = {Generalied Fractional Obsevers Scheme to fault detection and isolation},
author = {Asma Aribi and Mohamed Aoun and Christophe Farges and Slaheddine Najar and Pierre Melchior and Mohamed Naceur Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883092466\&doi=10.1109%2fSSD.2013.6564125\&partnerID=40\&md5=928702d4bc9399d486517ba266bed6bc},
doi = {10.1109/SSD.2013.6564125},
year = {2013},
date = {2013-01-01},
journal = {2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013},
abstract = {This paper develops a fault detection and isolation scheme for fractional order systems. It is an extension to fractional order models of a scheme developed for integer order models to design Generalized Fractional Observers Scheme (GFOS). Such scheme allows to generate residuals perfectly roboust to disturbances and to isolate faults. Efficiency of the scheme is evaluated on a numerical example. © 2013 IEEE.},
note = {Cited by: 8},
keywords = {Fault detection and isolation, Fault detection and isolation schemes, Fractional order models, Fractional-order systems, Integer order},
pubstate = {published},
tppubtype = {conference}
}
This paper develops a fault detection and isolation scheme for fractional order systems. It is an extension to fractional order models of a scheme developed for integer order models to design Generalized Fractional Observers Scheme (GFOS). Such scheme allows to generate residuals perfectly roboust to disturbances and to isolate faults. Efficiency of the scheme is evaluated on a numerical example. © 2013 IEEE. |
Aribi, Asma; Aoun, Mohamed; Farges, Christophe; Najar, Slaheddine; Melchior, Pierre; Abdelkrim, Mohamed Naceur Generalied Fractional Obsevers Scheme to fault detection and isolation Conférence 2013, (Cited by: 8). @conference{Aribi2013,
title = {Generalied Fractional Obsevers Scheme to fault detection and isolation},
author = {Asma Aribi and Mohamed Aoun and Christophe Farges and Slaheddine Najar and Pierre Melchior and Mohamed Naceur Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883092466\&doi=10.1109%2fSSD.2013.6564125\&partnerID=40\&md5=928702d4bc9399d486517ba266bed6bc},
doi = {10.1109/SSD.2013.6564125},
year = {2013},
date = {2013-01-01},
journal = {2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013},
abstract = {This paper develops a fault detection and isolation scheme for fractional order systems. It is an extension to fractional order models of a scheme developed for integer order models to design Generalized Fractional Observers Scheme (GFOS). Such scheme allows to generate residuals perfectly roboust to disturbances and to isolate faults. Efficiency of the scheme is evaluated on a numerical example. © 2013 IEEE.},
note = {Cited by: 8},
keywords = {Fault detection and isolation, Fault detection and isolation schemes, Fractional order models, Fractional-order systems, Integer order},
pubstate = {published},
tppubtype = {conference}
}
This paper develops a fault detection and isolation scheme for fractional order systems. It is an extension to fractional order models of a scheme developed for integer order models to design Generalized Fractional Observers Scheme (GFOS). Such scheme allows to generate residuals perfectly roboust to disturbances and to isolate faults. Efficiency of the scheme is evaluated on a numerical example. © 2013 IEEE. |
2010
|
Amairi, Messaoud; Najar, Slaheddine; Aoun, Mohamed; Abdelkrim, M. N. Guaranteed output-error identification of fractional order model Conférence vol. 2, 2010, (Cited by: 13). @conference{Amairi2010246b,
title = {Guaranteed output-error identification of fractional order model},
author = {Messaoud Amairi and Slaheddine Najar and Mohamed Aoun and M. N. Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957959879\&doi=10.1109%2fICACC.2010.5486678\&partnerID=40\&md5=529c5385abe1d52046a96f58bae0e649},
doi = {10.1109/ICACC.2010.5486678},
year = {2010},
date = {2010-01-01},
journal = {Proceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010},
volume = {2},
pages = {246 \textendash 250},
abstract = {A global optimization technique for identifying an output-error fractional order model is proposed. The proposed technique use a modified version of Hansen algorithm. It is capable of estimating the fractional orders and the parameters, with guaranteed convergence. The technique is applied to identify a fractional order system in deterministic and stochastic context. © 2010 IEEE.},
note = {Cited by: 13},
keywords = {Fractional differentiation, Fractional model, Fractional order, Fractional order models, Fractional-order systems, Global optimization, Global optimization techniques, Guaranteed convergence, Identification (control systems), Interval analysis, Optimization, System identifications},
pubstate = {published},
tppubtype = {conference}
}
A global optimization technique for identifying an output-error fractional order model is proposed. The proposed technique use a modified version of Hansen algorithm. It is capable of estimating the fractional orders and the parameters, with guaranteed convergence. The technique is applied to identify a fractional order system in deterministic and stochastic context. © 2010 IEEE. |
