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Distributed robust stabilization for a class of uncertain nonlinear multi-agent systems

机译:一类不确定非线性多助理系统的分布式稳定稳定

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This paper addresses the distributed robust stabilization problem for a class of uncertain nonlinear multiagent systems subject to dynamical uncertainties and external disturbances. A distributed adaptive controller is developed, based on the local information of the neighboring agents. The proposed controller can be implemented in a distributed manner for any undirected connected communication networks without requiring the accurate model of each agent. The proposed distributed neural controller guarantees that all signals in the closed-loop network are uniformly ultimately bounded. An example is given to show the efficacy of the proposed control method.
机译:本文解决了一类不确定的非线性多元素系统的分布式稳定稳定问题,其受动力不确定性和外部干扰。 基于相邻代理的本地信息,开发了分布式自适应控制器。 所提出的控制器可以以分布式方式实现任何无向连接的通信网络,而不需要每个代理的准确模型。 所提出的分布式神经控制器保证闭环网络中的所有信号都是均匀的最终界限。 给出了提出的控制方法的功效。

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