Complex Eng Syst 2022;2:[Accepted].10.20517/ces.2022.08© The Author(s) 2022 Accepted Manuscript
Open AccessResearch Article
Sampled-based bipartite tracking consensus of nonlinear multiagents subject to input saturation
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Luyang Yu, Ying Cui, Zongya Lu, Yurong Liu
Correspondence Address: Dr. Yurong Liu, Department of Mathematics, Yangzhou University, No. 180 Siwangting Road, Hanjiang Dsitrict, Yangzhou 225002, Jiangsu, China. E-mail: yrliu@yzu.edu.cn
Received: 16 Mar 2022 | First Decision: 31 Mar 2022 | Revised: 12 Apr 2022 | Accepted: 18 Apr 2022
Abstract
This paper is concerned with the sampled-data bipartite tracking consensus problem for a class of nonlinear multiagent systems (MASs) with input saturation. Both competitive and cooperative interactions coexist among agents in the concerned network. By resorting to Lyapunov stable theory and linear matrix inequality (LMI) technique, several criteria are obtained to ensure that the considered MASs can achieve the bipartite tracking consensus. Besides, with the help of the decoupled method, the dimensions of LMIs are reduced for mitigation of the computation complexity so that the obtained results can be applied to large-scaled MASs. Furthermore, the controller gain matrix is explicitly expressed in terms of solutions to a set of LMIs. We also provide with an estimate of elliptical attraction domain of bipartite tracking consensus. Finally, numerical simulation is exploited to support our theoretical analysis. Keywords
Bipartite tracking consensus, sampled-data control, nonlinear multiagent systems, input saturationCite This Article
Yu L, Cui Y, Lu Z, Liu Y. Sampled-based bipartite tracking consensus of nonlinear multiagents subject to input saturation. Complex Eng Syst 2022;2:[Accept]. http://dx.doi.org/10.20517/ces.2022.08