Publications

@conference{Lamouchi2022773b,

title = {Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems},

author = {Rihab Lamouchi and Messaoud Amairi and Tarek Raissi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136283232\&doi=10.1109%2fMED54222.2022.9837269\&partnerID=40\&md5=0f45c413f1fc67c6778e347ed65a2432},

doi = {10.1109/MED54222.2022.9837269},

year  = {2022},

date = {2022-01-01},

journal = {2022 30th Mediterranean Conference on Control and Automation, MED 2022},

pages = {773 \textendash 778},

abstract = {In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE.},

note = {Cited by: 1},

keywords = {Discrete time, Fault detection, Faults detection, Linear parameter varying systems, Linear systems, Measurement Noise, Numerical methods, Performance, Robust fault detection, Sensors faults, Uncertainty, Unknown but bounded, Zonotopes},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi2022178b,

title = {Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity},

author = {Rihab Lamouchi and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143817218\&doi=10.1109%2fSSD54932.2022.9955878\&partnerID=40\&md5=861234ea09d7f66ce9fcabebfd66668e},

doi = {10.1109/SSD54932.2022.9955878},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {178 \textendash 183},

abstract = {A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE.},

note = {Cited by: 1},

keywords = {Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi20181199b,

title = {Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems},

author = {Rihab Lamouchi and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054559690\&doi=10.1016%2fj.ifacol.2018.09.699\&partnerID=40\&md5=de423414de6ba51a4812a058275b7b0a},

doi = {10.1016/j.ifacol.2018.09.699},

year  = {2018},

date = {2018-01-01},

volume = {51},

number = {24},

pages = {1199 \textendash 1204},

abstract = {This work is devoted to fault estimation of discrete-time Linear Parameter-Varying (LPV) systems subject to actuator additive faults and external disturbances. Under the assumption that the measurement noises and the disturbances are unknown but bounded, an interval observer is designed, based on decoupling the fault effect, to compute a lower and upper bounds for the unmeasured state and the faults. Stability conditions are expressed in terms of matrices inequalities. A case study is used to illustrate the effectiveness of the proposed approach. © 2018},

note = {Cited by: 5; All Open Access, Bronze Open Access, Green Open Access},

keywords = {Actuators, Discrete time linear parameter varying (LPV) system, External disturbances, Fault estimation, Interval observers, Linear parameter varying systems, Linear systems, Lower and upper bounds, LPV systems, Parameter estimation, Unknown input observer},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi20174033b,

title = {Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems},

author = {Rihab Lamouchi and Messaoud Amairi and Tarek Ra\"{i}ssi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031808952\&doi=10.1016%2fj.ifacol.2017.08.721\&partnerID=40\&md5=4dd785827818b10f42471334f4257294},

doi = {10.1016/j.ifacol.2017.08.721},

year  = {2017},

date = {2017-01-01},

journal = {IFAC-PapersOnLine},

volume = {50},

number = {1},

pages = {4033 \textendash 4038},

abstract = {This paper presents an actuator fault compensation approach for a class of Linear Parameter-Varying (LPV) systems with noisy measurements. The proposed method is based on interval estimation assuming that the fault vector and the external disturbances are unknown but bounded. The main idea consists in designing a control law, based on a linear state feedback, to guarantee closed-loop stability. An additive control, based on fault bounds, is used to compensate the impact of actuator faults on system performances. The closed-loop stability of the robust fault compensation scheme is established in the Lyapunov sense. Finally, the theoretical results are illustrated using a numerical example. © 2017},

note = {Cited by: 11; All Open Access, Bronze Open Access, Green Open Access},

keywords = {Actuator fault, Actuators, Closed loop stability, Convergence of numerical methods, External disturbances, Interval estimation, Interval observers, Linear parameter varying systems, Linear state feedback, Linear systems, State feedback, Unknown but bounded},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{Salem2016640b,

title = {Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models},

author = {Thouraya Salem and Manel Chetoui and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986183506\&doi=10.1109%2fMED.2016.7536043\&partnerID=40\&md5=42b2e04961aef2ea329989e32a842690},

doi = {10.1109/MED.2016.7536043},

year  = {2016},

date = {2016-01-01},

journal = {24th Mediterranean Conference on Control and Automation, MED 2016},

pages = {640 \textendash 645},

abstract = {This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE.},

note = {Cited by: 9},

keywords = {Continuous time systems, Continuous-time, Differential equations, Estimation, Fractional differential equations, Fractional differentiation, Identification (control systems), Instrumental variables, Intelligent systems, Linear parameter varying models, Linear parameter varying systems, Linear systems, LPV systems, Monte Carlo methods, Parameter estimation, Refined instrumental variables, Religious buildings},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gasmi2016364b,

title = {Observers for nonlinear lipschitz discrete time systems with extension to H∞ filtering design},

author = {Noussaiba Gasmi and Assem Thabet and Mohamed Boutayeb and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974531658\&doi=10.1109%2fSSD.2016.7473668\&partnerID=40\&md5=91521b9692990aa623a3f13cd7b326ad},

doi = {10.1109/SSD.2016.7473668},

year  = {2016},

date = {2016-01-01},

journal = {13th International Multi-Conference on Systems, Signals and Devices, SSD 2016},

pages = {364 \textendash 369},

abstract = {This note focuses on state observer design for a general class of nonlinear discrete-time systems. The main contribution lies in the use of the differential mean value theorem (DMVT) to transform the nonlinear error dynamics into a linear parameter varying (LPV) system. This has the advantage of introducing a general condition on the non linear functions. An extension to H∞ filtering design is obtained for systems with linear and nonlinear outputs. LMI conditions are presented to ensure asymptotic convergence. Then performances and accuracy of the results are illustrated through simulation examples. © 2016 IEEE.},

note = {Cited by: 1},

keywords = {Asymptotic convergence, Differential mean value theorems, Digital control systems, Discrete - time systems, Discrete time control systems, Functions, Linear parameter varying systems, Mathematical transformations, Non-linear error, Nonlinear discrete-time systems, Nonlinear functions, Simulation example},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi2016707b,

title = {Interval observer design for Linear Parameter-Varying systems subject to component faults},

author = {R. Lamouchi and M. Amairi and T. Ra\"{i}ssi and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986200960\&doi=10.1109%2fMED.2016.7536019\&partnerID=40\&md5=2dc46cb58f89ba91dad4efd3a485c91d},

doi = {10.1109/MED.2016.7536019},

year  = {2016},

date = {2016-01-01},

journal = {24th Mediterranean Conference on Control and Automation, MED 2016},

pages = {707 \textendash 712},

abstract = {In this paper an interval observer for Linear Parameter-Varying (LPV) systems is proposed. The considered systems are assumed to be subject to parameter uncertainties and component faults whose effect can be approximated by parameters deviations. Under some conditions, an interval observer with discrete-time Luenberger structure is developed to cope with uncertainties and faults ensuring guaranteed bounds on the estimated states and their stability. The interval observer design is based on assumption that the uncertainties and the faults magnitudes are considered as unknown but bounded. A numerical example shows the efficiency of the proposed technique. © 2016 IEEE.},

note = {Cited by: 20; All Open Access, Green Open Access},

keywords = {Component faults, Convergence of numerical methods, Estimated state, Guaranteed bounds, Interval observers, Linear parameter varying systems, Linear systems, LPV systems, Numerical methods, Parameter uncertainty, Uncertainty analysis, Unknown but bounded},

pubstate = {published},

tppubtype = {conference}

}