Neural-based fixed-time composite learning control for multiagent systems with intermittent faults

In this paper, a distributed fixed-time composite learning control problem is addressed for nonlinear multiagent systems (MASs) subject to intermittent actuator faults. First, a distributed estimator is constructed for followers that are unable to communicate directly with the leader. Then, instead...

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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 599; p. 128135
Main Authors Zheng, Xiaohong, Ren, Hongru, Zhou, Qi, Wang, Xinzhong
Format Journal Article
LanguageEnglish
Published Elsevier B.V 28.09.2024
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