High-accuracy consensus algorithm for second-order multi-agent systems

Feng Jing; Junfeng Han; Meilin Xie; Peng Liu; Xubin Feng

doi:10.1117/12.2315666

5 March 2018 High-accuracy consensus algorithm for second-order multi-agent systems

Feng Jing, Junfeng Han, Meilin Xie, Peng Liu, Xubin Feng

Proceedings Volume 10710, Young Scientists Forum 2017; 1071010 (2018) https://doi.org/10.1117/12.2315666
Event: Young Scientists Forum 2017, 2017, Shanghai, China

Abstract

Consensus problem is a hot area of multi-agent cooperative control, and has produced many research results.Design consensus algorithm is the focus of multi-agent problem research.However, for high precision situations, multi-agent cooperative control needs more effective consensus algorithm.Since most of the dynamic models in reality are second-order systems, this paper provides a consensus algorithm of second-order multi-agent system with integral, and compares it with the traditional consensus algorithms. The algorithm has higher response rate and consensus accuracy.In order to illustrate the effectiveness of the proposed algorithm, a set of simulation results is provided.

Citation Download Citation

Feng Jing, Junfeng Han, Meilin Xie, Peng Liu, and Xubin Feng "High-accuracy consensus algorithm for second-order multi-agent systems", Proc. SPIE 10710, Young Scientists Forum 2017, 1071010 (5 March 2018); https://doi.org/10.1117/12.2315666

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