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}

}