Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays
作者： Rongxin Cui , Dong Cui , Mou Chen
DOI: 10.1007/978-3-642-39068-5_15
关键词: Tracking (particle physics) 、 Multi-agent system 、 Focus (optics) 、 Control (management) 、 Trajectory 、 Mathematics 、 Nonlinear system 、 Tracking error 、 Artificial neural network 、 Mathematical optimization 、 Control theory
摘要: In this paper, we focus on the cooperative tracking problem of multi-agent systems with nonlinear dynamics and communication time delays. Only a portion agents can access information desired trajectory there are delays among agents. Through designing an adaptive neural network based control law constructing appropriate Lyapunov-Krasovskii functional, it is proved that error each agent converges to neighborhood zero. Simulation results provided show effectiveness proposed algorithm.
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sci-hub.st 参考文章(17)
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