Novel Data and Neural Network-Based Nonlinear Adaptive Switching Control Method

We propose an adaptive nonlinear control method for a discrete-time dynamical system. First, the nonlinear term is decomposed into a previous sampling instant term and an unknown increment term, which are determined using an intelligent estimation algorithm based on adaptive fuzzy neural networks. T...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2022-02, Vol.33 (2), p.789-797
Hauptverfasser:	Zhang, Yajun, Niu, Hong, Tao, Jinmei, Li, Xusheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive control Adaptive systems Algorithms Control methods Control stability Controllers data-based control Decomposition Discrete time systems Dynamical systems Estimation Fuzzy logic Heuristic algorithms Historical account Mathematical model Neural networks Nonlinear control Nonlinear dynamical systems nonlinear system nonlinear term Sampling Stability analysis Switches Switching
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