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摘要
In this paper, an adaptive protocol is proposed to solve the consensus problem of multi-agent systems with high-order nonlinear dynamics by using neural networks (NNs) to approximate the unknown nonlinear system functions. It is derived that all agents achieve consensus if the undirected interaction graph is connected, and the transient performance of the multi-agent system is also investigated. It shows that the adaptive protocol and the consensus analysis can be easily extended to switching networks by the existing LaSalle';s Invariance Principle of switched systems. A numerical simulation illustrates the effectiveness of the proposed consensus protocol.
- 出版日期2012-9
- 单位北京航空航天大学
