Distributed optimization of general linear multi-agent systems with external disturbance. Issue 11 (July 2021)

• Record Type: Journal Article
• Authors: Li, Shiling; Nian, Xiaohong; Deng, Zhenhua
• Is Part Of: Journal of the Franklin Institute. Volume 358:Issue 11(2021)
• Page Start: 5951
• Page End: 5970
• Publication Date: 2021-07
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2021.05.024
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: In this paper, we consider the distributed optimization problems with linear coupling constraint of general homogeneous and heterogeneous linear multi-agent systems under weighted-balanced and strongly connected digraphs. In order to control all agents converge to the optimal output, we propose distributed control laws, therein, the optimal output can make the global cost function reach minimum. Then we guarantee the convergence of the proposed algorithms by the properties of Laplacian matrix and Lyapunov stability theorem. Furthermore, we extend the result of heterogeneous linear multi-agent system to the case that dynamics of agents are subject to external disturbances, and prove that the algorithm designed by internal model principle can make all agents reach the optimal output exactly. Finally, we provide examples to illustrate the effectiveness of the proposed distributed algorithms.