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Journal of Control Science and Engineering
Volume 2018, Article ID 3709421, 9 pages
https://doi.org/10.1155/2018/3709421
Research Article

Consensus Control of Second-Order Multiagent Systems with Particle Swarm Optimization Algorithm

1Equipment Management and Unmanned Aerial Vehicle Engineering College, Air Force Engineering University, Xi’an 710051, China
2Theory Training Department, Air Force Harbin Flight Academy, Harbin 150001, China

Correspondence should be addressed to Xiuxia Sun; moc.621@xxsyxcg

Received 21 March 2018; Revised 16 August 2018; Accepted 3 September 2018; Published 23 September 2018

Academic Editor: Carlos-Andrés García

Copyright © 2018 Xiongfeng Deng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper considers the consensus problem of second-order multiagent systems. Firstly, an improved consensus control protocol is proposed. Then, the convergence of the proposed control protocol is analyzed by applying Lyapunov stability theory. In order to improve the control effect of a given system, the particle swarm optimization (PSO) algorithm is introduced and an improved PSO algorithm is proposed. Additionally, a mapping relationship with agents and the individuals of PSO algorithm is designed. Finally, two simulation examples are provided to illustrate the effectiveness of proposed control protocol and the control effect of PSO algorithm.