Neural-Observer-Based Terminal Sliding Mode Control: Design and Application

In view of the fact that most devices are nonlinear systems, this article proposes a recurrent probabilistic compensation fuzzy neural network (RPCFNN) control scheme based on global fast terminal sliding mode control (GFTSMC) for a class of nonlinear systems with uncertainties. First, GFTSMC is dev...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2022-11, Vol.30 (11), p.4800-4814
Hauptverfasser:	Hou, Shixi, Wang, Cheng, Chu, Yundi, Fei, Juntao
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Controllers Estimation Fuzzy control Fuzzy logic Fuzzy neural network (FNN) Fuzzy neural networks neural observer Nonlinear systems Nonlinearity Operators (mathematics) Probabilistic logic Probability theory Sliding mode control sliding mode control (SMC) System effectiveness Uncertainty
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