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Dynamic event-triggered-based human-in-the-loop formation control for stochastic nonlinear MASs 被引量:1
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作者 yonghua peng Guohuai Lin +1 位作者 Guangdeng Chen Hongyi Li 《Security and Safety》 2023年第4期49-65,共17页
The dynamic event-triggered(DET)formation control problem of a class of stochastic nonlinear multi-agent systems(MASs)with full state constraints is investigated in this article.Supposing that the human operator sends... The dynamic event-triggered(DET)formation control problem of a class of stochastic nonlinear multi-agent systems(MASs)with full state constraints is investigated in this article.Supposing that the human operator sends commands to the leader as control input signals,all followers keep formation through network topology communication.Under the command-filter-based backstepping technique,the radial basis function neural networks(RBF NNs)and the barrier Lyapunov function(BLF)are utilized to resolve the problems of unknown nonlinear terms and full state constraints,respectively.Furthermore,a DET control mechanism is proposed to reduce the occupation of communication bandwidth.The presented distributed formation control strategy guarantees that all signals of the MASs are semi-globally uniformly ultimately bounded(SGUUB)in probability.Finally,the feasibility of the theoretical research result is demonstrated by a simulation example. 展开更多
关键词 Dynamic event-triggered(DET)control formation control full state constraints human-in-the-loop(HiTL) multi agent systems(MASs)
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