Adaptive output feedback consensus tracking for linear multi-agent systems with unknown dynamics
作者： Junyong Sun , Zhiyong Geng
DOI: 10.1080/00207179.2015.1015171
关键词:
摘要: In this paper, the consensus tracking problem with unknown dynamics in leader for linear multi-agent systems is addressed. Based on relative output information among agents, decentralised adaptive protocols static coupling gains are designed to guarantee that errors converge a small neighbourhood around origin and all signals closed-loop uniformly ultimately bounded. Moreover, result extended case dynamic which independent of eigenvalues Laplacian matrix. Both by using outputs, more practical than state-feedback ones. Finally, theoretical results verified through an example.
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