Distributed adaptive neural consensus control for cooperative nonlinear systems with unknown dynamics and switching topology
Chunyu Zhang, Xin Wang, Jianting Lyu, Xin Yang · 2019
This paper studies the problem of adaptive consensus control for a class of nonlinear multi-agent systems (MASs) under switching topologies. The dynamics of the each subsystem are assumed to be unknown, which will be estimated using adaptive neural networks mechanism. Additionally, suppose the underlying communication network is a time-varying undirected graph. An adaptive cooperative control algorithm is developed to guarantee that all agents in networked system arrive at the uniformly ultimate bounded (UUB) consensus state. Finally, a numerical simulation is given to illustrate the effectiveness of presented consensus protocol.