Publications

@article{Akremi2023,

title = {Functional interval observer design for multivariable linear parameter-varying systems},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150867910\&doi=10.1016%2fj.ejcon.2023.100794\&partnerID=40\&md5=3e5eb3fa12a82a2fa717e52447d1be5e},

doi = {10.1016/j.ejcon.2023.100794},

issn = {09473580},

year  = {2023},

date = {2023-01-01},

journal = {European Journal of Control},

volume = {71},

publisher = {Elsevier Ltd},

abstract = {This paper presents a new functional interval observer design methodology for discrete-time multivariable Linear Parameter-Varying (LPV) systems subject to bounded uncertainties. A functional interval observer is designed to estimate the bounds of the functional state using H∞/L∞ formalism to attenuate the effects of the uncertainties and to improve the accuracy of the estimation. The sufficient conditions of the observer design are developed in terms of Linear Matrix Inequalities (LMIs) constraints using the Lyapunov stability theory. Eventually, the effectiveness of the proposed methodology is illustrated by a numerical example. © 2023 European Control Association},

note = {cited By 6},

keywords = {Design; Linear matrix inequalities; Linear systems, Functional interval; Functional interval observer; H∞ norm; Interval observers; Linear parameter varying systems; L∞ performance; Multi variables; Multivariable linear parameter-varying system; Observers designs; ∞performance, Uncertainty analysis},

pubstate = {published},

tppubtype = {article}

}

@article{Lamouchi2022g,

title = {Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133903606\&doi=10.1016%2fj.ejcon.2022.100700\&partnerID=40\&md5=282e320114ffa732fd805f3ce439ad7d},

doi = {10.1016/j.ejcon.2022.100700},

year  = {2022},

date = {2022-01-01},

journal = {European Journal of Control},

volume = {67},

abstract = {This paper deals with the design of an Active Fault Tolerant Control (AFTC) approach for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation method is developed by integrating robust observer design with zonotopic techniques. The proposed observer is developed using L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the estimation. Then, an AFTC strategy is used to compensate actuator fault effect and maintain system stability. Finally, the effectiveness of the proposed method is demonstrated by a case study on a 4.8MW wind turbine benchmark system. © 2022 European Control Association},

note = {Cited by: 3},

keywords = {Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Linear parameter varying systems, Linear systems, L∞ norm, System stability, Uncertainty analysis, Wind turbine systems, Wind turbines, Zonotopic technique, ∞norm},

pubstate = {published},

tppubtype = {article}

}

@article{Lamouchi2022h,

title = {On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130126718\&doi=10.1016%2fj.sysconle.2022.105218\&partnerID=40\&md5=a6a5dac4c11a8622ed641e0369da31a6},

doi = {10.1016/j.sysconle.2022.105218},

year  = {2022},

date = {2022-01-01},

journal = {Systems and Control Letters},

volume = {164},

abstract = {This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V.},

note = {Cited by: 5},

keywords = {Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Interval observers, Linear parameter varying systems, Linear systems, L∞ norm, State feedback, Uncertainty analysis, ∞norm},

pubstate = {published},

tppubtype = {article}

}

@article{Achnib2019c,

title = {Discrete-time robust control with an anticipative action for preview systems},

author = {Asma Achnib and Tudor-Bogdan Airimitoaie and Patrick Lanusse and Sergey Abrashov and Mohamed Aoun and Manel Chetoui},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057080429\&doi=10.1115%2f1.4041711\&partnerID=40\&md5=c007a62bef58fe058ab65fc40bc41a71},

doi = {10.1115/1.4041711},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME},

volume = {141},

number = {3},

abstract = {A discrete-time robust controller design method is proposed for optimal tracking of future references in preview systems. In the context of preview systems, it is supposed that future values of the reference signal are available a number of time steps ahead. The objective is to design a control algorithm that minimizes a quadratic error between the reference and the output of the system and at the same time achieves a good level of the control signal. The proposed solution combines a robust feedback controller with a feedforward anticipative filter. The feedback controller's purpose is to assure robustness of the closed-loop system to model uncertainties. Any robust control methodology can be used (such as μ-synthesis, qft, or crone control). The focus of this paper will be on the design of the feedforward action in order to introduce the anticipative effect with respect to known future values of the reference signal without hindering the robustness achieved through the feedback controller. As such, the model uncertainties are taken into account also in the design of the feedforward anticipative filter. The proposed solution is validated in simulation and on an experimental water tank level control system. © 2019 American Society of Mechanical Engineers (ASME). All rights reserved.},

note = {Cited by: 8; All Open Access, Green Open Access},

keywords = {Closed loop systems, Control methodology, Controllers, Digital control systems, Discrete - time systems, Discrete time control systems, Feedback control, Feedback controller, Feedforward filters, Leveling (machinery), Model uncertainties, Motion control, Reference signals, Robust control, Robust controller design, Robust feedback controllers, Robustness (control systems), Signal processing, Uncertainty analysis, Water tanks},

pubstate = {published},

tppubtype = {article}

}

@article{Yousfi2017582b,

title = {Robust state estimation for singularly perturbed systems},

author = {B. Yousfi and T. Ra\"{i}ssi and M. Amairi and D. Gucik-Derigny and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979965559\&doi=10.1080%2f00207179.2016.1186842\&partnerID=40\&md5=a6a887668d600359a3d705890d923cca},

doi = {10.1080/00207179.2016.1186842},

year  = {2017},

date = {2017-01-01},

journal = {International Journal of Control},

volume = {90},

number = {3},

pages = {582 \textendash 595},

abstract = {This paper deals with the design of interval observers for singularly perturbed linear systems. The full-order system is first decoupled into slow and fast subsystems. Then, using the cooperativity theory, an interval observer is designed for the slow and fast subsystems assuming that the measurement noise and the disturbances are bounded and the singular perturbed parameter is uncertain. This decoupling leads to two observers that estimate the lower and upper bounds for the feasible state domain. A numerical example shows the efficiency of the proposed technique. © 2016 Informa UK Limited, trading as Taylor \& Francis Group.},

note = {Cited by: 6},

keywords = {Cooperativity, Interval observers, Linear systems, Lower and upper bounds, Measurement Noise, Numerical methods, Perturbation techniques, Robust state estimation, Singularly perturbed, Singularly perturbed systems, uncertainties, Uncertainty analysis},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}