Fuzzy Set-Membership Filtering for Discrete-Time Nonlinear Systems

In this article, the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership filtering. First, an improved T-S fuzzy model is introduced to achieve highly accurate approximation via an affine model unde...

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Veröffentlicht in:	IEEE/CAA journal of automatica sinica 2022-06, Vol.9 (6), p.1026-1036
Hauptverfasser:	Mao, Jingyang, Meng, Xiangyu, Ding, Derui
Format:	Artikel
Sprache:	eng
Schlagworte:	Affine model Algorithms Continuity (mathematics) Discrete time systems Ellipsoids Estimation error Filtering algorithms Filtering theory Filtration Fuzzy sets Information filters Mathematical analysis Mathematical models membership functions Noise measurement Nonlinear systems Optimization set-membership filtering stability State estimation Takagi-Sugeno fuzzy modeling
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