Abstract:
The primary aim of this paper is to study the regional consensus problem for saturated multi-agent systems satisfying solely the stabilization assumption. For such kind o...Show MoreMetadata
Abstract:
The primary aim of this paper is to study the regional consensus problem for saturated multi-agent systems satisfying solely the stabilization assumption. For such kind of systems, it is recognized that global or semi-global consensus generally cannot be reached. Instead, this paper studies the problem of regional consensus where the initial states of agents lie within a convex set which is positively invariant over a fixed undirected communication network topology. The approach of convex hull representation is extended to deal with the actuator saturation for multi-agents systems. Some sufficient conditions are derived, where the domain of consensus is estimated by the level set of a quadratic function. It is shown that these conditions can be transformed into a collection of linear matrix inequalities (LMIs), based on which an optimization problem is formulated to obtain the possibly largest estimate of the domain of consensus. A numerical example is presented to illustrate the effectiveness of the proposed method.
Date of Conference: 19-21 August 2019
Date Added to IEEE Xplore: 05 December 2019
ISBN Information:
Department of Automation, Xiamen University, Xiamen, Fujian, China
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
Department of Automation, Xiamen University, Xiamen, Fujian, China
Department of Automation, Xiamen University, Xiamen, Fujian, China
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
Department of Automation, Xiamen University, Xiamen, Fujian, China