Fuzzy Tracking Control for Markov Jump Systems With Mismatched Faults by Iterative Proportional-Integral Observers

This article is devoted to the fuzzy fault-tolerant tracking control of Markov jump systems with unknown mismatched faults. To reconstruct the faults and system states, a sequence of proportional-integral observers are established via the system outputs. With the help of a structure separation techn...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2022-02, Vol.30 (2), p.542-554
Hauptverfasser:	Shen, Mouquan, Ma, Yongsheng, Park, Ju H., Wang, Qing-Guo
Format:	Artikel
Sprache:	eng
Schlagworte:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> mathcal {H}_\infty</tex-math> </inline-formula> control Algorithms Control systems Estimation Fault tolerance Fault tolerant systems Faults Feedback control Fuzzy control Fuzzy systems Linear matrix inequalities linear matrix inequality (LMI) Markov jump systems (MJSs) Markov processes Mathematical analysis Observers Takagi–Sugeno (T-S) fuzzy systems Tracking control
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