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{Walid2018138b,

title = {Robust internal model controller for quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050009476\&doi=10.1109%2fASET.2018.8379848\&partnerID=40\&md5=d90913214fa716cddebe22721d3a1de3},

doi = {10.1109/ASET.2018.8379848},

year  = {2018},

date = {2018-01-01},

journal = {2018 International Conference on Advanced Systems and Electric Technologies, IC_ASET 2018},

pages = {138 \textendash 143},

abstract = {Modeling and control of Unmanned Aerial Vehicle (UAV) such quadrotor becomes more attractive to researchers due to the UAV applications and technological advancements. Therefore the quadrotor system can probably affected by model uncertainties, noises and external disturbances. In this work, a quadrotor dynamic model is presented and a new control approach based on Internal Model Control strategy is designed to stabilize the 6 DoF quadrotor UAV under model uncertainties, noises and external disturbances, provided by numerical simulations. © 2018 IEEE.},

note = {Cited by: 4},

keywords = {Aircraft control, Antennas, Disturbance, External disturbances, Internal model control, Internal model controllers, Model predictive control, Models, Quad-rotor UAV, Quadrotor dynamic modeling, Technological advancement, Uncertainty, Uncertainty analysis, Unmanned aerial vehicles (UAV)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Walid2018138,

title = {Robust internal model controller for quadrotor UAV},

author = {Mizouri Walid and Najar Slaheddine and Aoun Mohamed and Bouabdallah Lamjed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050009476\&doi=10.1109%2fASET.2018.8379848\&partnerID=40\&md5=d90913214fa716cddebe22721d3a1de3},

doi = {10.1109/ASET.2018.8379848},

year  = {2018},

date = {2018-01-01},

journal = {2018 International Conference on Advanced Systems and Electric Technologies, IC_ASET 2018},

pages = {138 \textendash 143},

abstract = {Modeling and control of Unmanned Aerial Vehicle (UAV) such quadrotor becomes more attractive to researchers due to the UAV applications and technological advancements. Therefore the quadrotor system can probably affected by model uncertainties, noises and external disturbances. In this work, a quadrotor dynamic model is presented and a new control approach based on Internal Model Control strategy is designed to stabilize the 6 DoF quadrotor UAV under model uncertainties, noises and external disturbances, provided by numerical simulations. © 2018 IEEE.},

note = {Cited by: 4},

keywords = {Aircraft control, Antennas, Disturbance, External disturbances, Internal model control, Internal model controllers, Model predictive control, Models, Quad-rotor UAV, Quadrotor dynamic modeling, Technological advancement, Uncertainty, Uncertainty analysis, Unmanned aerial vehicles (UAV)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Amairi20141166b,

title = {Design of robust fractional order PI for FOPDT systems via set inversion},

author = {M. Amairi and M. Aoun and B. Saidi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920546172\&doi=10.1109%2fCCA.2014.6981486\&partnerID=40\&md5=d4fbea265b4bee3988f818fa6aa6491d},

doi = {10.1109/CCA.2014.6981486},

year  = {2014},

date = {2014-01-01},

journal = {2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014},

pages = {1166 \textendash 1171},

abstract = {This paper presents a new design approach of a fractional order PI controller for uncertain system with delay. The method uses the set inversion via interval analysis approach to determine the three parameters of the controller in accordance with different frequency specifications. When applied to uncertain delay system, the method computes the interval of each parameter providing the desired performances. Some numerical examples illustrate the effectiveness of the proposed approach in the case of an uncertain first order plus dead time system. © 2014 IEEE.},

note = {Cited by: 4},

keywords = {Controllers, Design approaches, Different frequency, First order plus dead time, Fractional controllers, Fractional order pI, Interval analysis, Robustness (control systems), Set inversion via interval analysis, Time delay, Uncertainty, Uncertainty analysis},

pubstate = {published},

tppubtype = {conference}

}