Adaptive Coordination Control of Multi-Agent Systems with Switching Topologies and Unknown Nonlinear Dynamics
2013 ◽
Vol 278-280
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pp. 1413-1416
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In this paper, we study the leader-following adaptive consensus problem for multi-agent systems with unknown nonlinear dynamics. The topologies of the networks are switching. A novel adaptive consensus algorithm is proposed by using linear parameterizations of unknown nonlinear dynamics of all agents. By stability analysis and parameter convergence analysis of the proposed algorithm, adaptive consensus can be realized based on neighboring graphs. The stability analysis is based on algebraic graph theory and Lyapunov theory, the PE condition plays a key role in parameter convergence analysis. Example is given to validate the theoretical results.
Keyword(s):
2013 ◽
Vol 275-277
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pp. 2654-2658
2013 ◽
Vol 8
(8)
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pp. 946-954
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Keyword(s):
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2016 ◽
Vol 38
(10)
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pp. 1165-1173
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Keyword(s):
Keyword(s):
Active disturbance rejection consensus control of uncertain high-order nonlinear multi-agent systems
2019 ◽
Vol 42
(3)
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pp. 604-617