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States and Faults Estimation for Constrained Quasi-LPV Nonlinear System.

EasyChair Preprint no. 7505

6 pagesDate: February 26, 2022


In this paper, we address a  Proportional Integral (PI) observer based controller problem, for a class of quasi-LPV fuzzy system with faults and external disturbances. First, an augmented descriptor system is constructed where the augmented state vector consists of the original states, the actuator faults and sensor faults. Second, based on the quasi-LPV descriptor system, a robust   PI observer based Estimated Dynamic State Feedback Fault Tolerant Controller ( PI -EDSFFTC) is designed, which is robust to external disturbances and both actuator and sensor faults. The studied system is subject to input and state constraints. An integrated robust controller strategy is adopted by a novel structure of non Parallel Distributed Compensation (non-PDC) control law. This ensures the closed-loop stability of the faulty system, and respects the given saturation constraints on the control input. The optimization problem is formulated using fuzzy Lyapunov function, and expressed on terms of linear matrix inequalities (LMIs). Finally, its application to an example is presented, to highlight the performance of the developed method.

Keyphrases: Constrained Quasi-LPV system., EDSFFTC, fault estimation, Fault Tolerant Controller, L2 PI observer

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Righi Ines and Sabrina Aouaouda and Khelil Khaled},
  title = {States and Faults Estimation for Constrained Quasi-LPV Nonlinear System.},
  howpublished = {EasyChair Preprint no. 7505},

  year = {EasyChair, 2022}}
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