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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Vydáno v:	International journal of robust and nonlinear control Ročník 32; číslo 11; s. 6507 - 6522
Hlavní autoři:	Chen, Zhongyu, Niu, Ben, Zhang, Liang, Zhao, Jinfeng, Ahmad, Adil M., Alassafi, Madini O.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bognor Regis Wiley Subscription Services, Inc 25.07.2022
Témata:	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
On-line přístup:	Získat plný text
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