Please use this identifier to cite or link to this item:
|Title:||WLS-based partially decentralized adaptive control for coupled ARMAX multi-agent dynamical system||Authors:||Ma, H.
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 5, 2021
WEB OF SCIENCETM
checked on Feb 25, 2021
checked on Mar 2, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.