Command filtering‐based adaptive neural network control for uncertain switched nonlinear systems using event‐triggered communication

In this article, a command filtering‐based adaptive event‐triggered neural network control scheme is proposed for a class of uncertain switched nonlinear systems with unknown control coefficient and input saturation. First, radial basis function neural networks are used as function approximators to...

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Veröffentlicht in:	International journal of robust and nonlinear control Jg. 32; H. 11; S. 6507 - 6522
Hauptverfasser:	Chen, Zhongyu, Niu, Ben, Zhang, Liang, Zhao, Jinfeng, Ahmad, Adil M., Alassafi, Madini O.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 25.07.2022
Schlagworte:	Adaptive control artificial intelligence Control systems design Error compensation event‐triggering mechanism Filtration Network control Neural networks Nonlinear systems Nussbaum‐type function Radial basis function Saturation Stability analysis switched nonlinear systems Tracking errors
ISSN:	1049-8923, 1099-1239
Online-Zugang:	Volltext
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