Article ID Journal Published Year Pages File Type
411404 Neurocomputing 2016 9 Pages PDF
Abstract

In this paper, a class of consensus protocol for detail-balanced networks of agents with general Lipschitz-type nonlinear dynamics and external disturbances is investigated. To guarantee asymptotic consensus in such a multi-agent system, several distributed controllers are constructed based only on the relative state information of neighboring agents. By appropriately constructing Lyapunov function and using tools from M-matrix theory, some sufficient conditions for achieving distributed consensus are provided. Finally, two examples and simulations are given to illustrate the effectiveness of the obtained theoretical result.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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