Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2009.5160234
Title: WLS-based partially decentralized adaptive control for coupled ARMAX multi-agent dynamical system
Authors: Ma, H. 
Ge, S.S. 
Lum, K.-Y. 
Keywords: Coupled ARMAX model
Decentralized adaptive control
Multi-agent dynamic system
Weighted leastsquare algorithm
Issue Date: 2009
Citation: Ma, H., Ge, S.S., Lum, K.-Y. (2009). WLS-based partially decentralized adaptive control for coupled ARMAX multi-agent dynamical system. Proceedings of the American Control Conference : 3543-3548. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2009.5160234
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 "certainty equivalence" 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. © 2009 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/51274
ISBN: 9781424445240
ISSN: 07431619
DOI: 10.1109/ACC.2009.5160234
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