Title :
Cooperative tracking for multi-agent systems with general linear dynamics via continuous controllers
Author_Institution :
Sch. of Electron. & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
Abstract :
This paper deals with the cooperative tracking problem for multi-agent systems with general linear dynamics. A novel estimator-based tracking algorithm is proposed, together with a sufficient condition for the followers to track the dynamic leader. In this algorithm, an estimator is designed to estimate the unknown control input of the leader. Different from most of the existing algorithms on coordinated tracking problems for multi-agent systems, where discontinuous controllers are used, the control input in this algorithm is continuous. Theoretical analysis shows that the followers can track the leader with ultimately bounded tracking errors, if parameters in the cooperative tracking algorithm are properly chosen. A numerical example is given to illustrate the effectiveness of the proposed algorithm.
Keywords :
continuous systems; control system synthesis; linear systems; multi-robot systems; continuous controllers; control input; cooperative tracking problem; estimator design; estimator-based tracking algorithm; general linear dynamics; multi-agent systems; sufficient condition; Algorithm design and analysis; Control systems; Heuristic algorithms; Multi-agent systems; Symmetric matrices; Topology; Vehicle dynamics; Cooperative tracking; multi-agent systems;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896857