Title :
Cooperative control for coupled multi-agent systems with parallel estimators and adaptive controllers
Author :
You-Dian Pei ; Hong-Jun Ma ; Guang-Hong Yang
Author_Institution :
State Key Lab. of Synthetical Autom. for Process Ind., Northeastern Univ., Shenyang, China
Abstract :
This paper is concerned with the decentralized and distributed estimation and control problem for a formation of agents with strongly couplings. The collected agents of the formation are modeled by a class of uncertain nonlinear systems communicating information between each other through unidirectional links with a fixed communication topology. Carrying an estimate of the entire formation state in each agent, the proposed hybrid control strategy relies on the possibility of making discrete on-line adjustments of parameter in the updating law of gain by a monitor signal. By a Lyapunov-based analysis of closed-loop equilibrium dynamics, a constructive design procedure results in the consensus of the estimation error dynamics and the stability of all signals in the closed-loop systems simultaneously.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; nonlinear systems; uncertain systems; Lyapunov-based analysis; adaptive controllers; closed-loop equilibrium dynamics; closed-loop systems; constructive design procedure; control problem; cooperative control; coupled multiagent systems; decentralized estimation; discrete on-line adjustments; distributed estimation; estimation error dynamics; fixed communication topology; hybrid control strategy; monitor signal; parallel estimators; signal stability; uncertain nonlinear systems; unidirectional links; Adaptive systems; Couplings; Stability analysis; Switches; Uncertainty; Vehicle dynamics; Adaptive controller; Cooperative control; Decentralized systems; Nonlinear systems; Parallel estimators;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161825