Title :
WLS-based partially decentralized adaptive control for coupled ARMAX multi-agent dynamical system
Author :
Ma, Hongbin ; Ge, S.S. ; Lum, Kai-Yew
Author_Institution :
Temasek Labs., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
In this paper, partially decentralized adaptive control for a multi-agent dynamic system is studied. There are many agents in the system, and each agent´s state evolves like an ARMAX model with unknown parameters while being intervened by its neighborhood agents, in form of unknown linear interactions. Each agent adopts recursive WLS (weighted least-square) algorithm to estimate its local unknown parameters and designs its local adaptive controller by ldquocertainty equivalencerdquo principle. Generally speaking, it is a question whether such local adaptive controllers can guarantee stability of whole system. In this paper, we not only give the affirmative answer to this question, but also rigorously prove the optimality of decentralized WLS adaptive controller.
Keywords :
adaptive control; decentralised control; least squares approximations; multi-robot systems; stability; WLS-based partially decentralized adaptive control; certainty equivalence principle; coupled ARMAX multiagent dynamical system; local adaptive controllers; partially decentralized adaptive control; weighted least-square algorithm; Adaptive control; Algorithm design and analysis; Centralized control; Control systems; Laboratories; Programmable control; Recursive estimation; Robust control; Stability; Uncertainty; coupled ARMAX model; decentralized adaptive control; multi-agent dynamic system; weighted least-square algorithm;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160234