Quantised consensus of multi-agent systems with nonlinear dynamics

Yunru Zhu, Yuanshi Zheng and Long Wang

International Journal of Systems Science, 2015, vol. 46, issue 11, 2061-2071

Abstract: This paper studies the consensus problem of first-order and second-order multi-agent systems with nonlinear dynamics and quantised interactions. Continuous-time and impulsive control inputs are designed for the multi-agent systems on the logarithmic quantised relative state measurements of agents, respectively. By using nonsmooth analysis tools, we get some sufficient conditions for the consensus of multi-agent systems under the continuous-time inputs. Compared with continuous-time control inputs, impulsive distributed control inputs just use the state variables of the systems at discrete-time instances. Based on impulsive control theory, we prove that the multi-agent systems can reach consensus by choosing proper control gains and impulsive intervals. The simulation results are given to verify the effectiveness of the theoretical results.

Date: 2015
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/00207721.2013.849770

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