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Abstract This paper studies the consensus of multi-agent systems with linear and nonlinear dynamics, respectively. Based on a reordering scheme and the relative outputs of agents, two kinds of observer-based… Click to show full abstract
Abstract This paper studies the consensus of multi-agent systems with linear and nonlinear dynamics, respectively. Based on a reordering scheme and the relative outputs of agents, two kinds of observer-based distributed control protocols are constructed, in which only the weights in the directed spanning tree need to be updated continuously. Randomly choosing a directed spanning tree and using the developed distributed adaptive laws, one can see that the consensus can be achieved under some mild assumptions on agents’ intrinsic dynamics. Finally, two examples are presented to illustrate the theoretical analysis.
Journal Title: Nonlinear Analysis: Hybrid Systems
Year Published: 2019
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