Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIC.2007.4450912
Title: Decentralized Å3ström-Wittenmark self-tuning regulator of a multi-agent uncertain coupled ARMAX system
Authors: Ma, H. 
Lum, K.-Y. 
Ge, S.S. 
Keywords: Åström-Wittenmark self-tuning regulator
ARMAX
Decentralized adaptive control
ELS
Multi-agent system
Uncertainty
Issue Date: 2008
Source: Ma, H.,Lum, K.-Y.,Ge, S.S. (2008). Decentralized Å3ström-Wittenmark self-tuning regulator of a multi-agent uncertain coupled ARMAX system. 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control : 363-368. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIC.2007.4450912
Abstract: Adaptive control for a multi-agent uncertain dynamical system is studied in this paper. The system studied has the following characteristics: (i) there are many agents in this system and the state of each agent dynamically evolves with time; (ii) for each agent, its state evolves like an ARMAX model with unknown coefficients; (iii) each agent is locally intervened by neighborhood agents with unknown linear reactions; (iv) each agent can only use its history information and local information on its neighborhood agents to design its control law aimed at achieving its own local goal, i.e. tracking a local signal sequence. In this paper, the Åström-Wittenmark self-tuning regulator, which is a special case (with known high-frequency gain) of extended least squares (ELS) algorithm, is adopted by each agent to estimate the local unknown parameters (including internal parameters and coupling coefficients) and control the local states based on the "certainty equivalence" principle. For the decentralized Åström-Wittenmark self-tuning regulator discussed here, its stability and optimality are established rigorously in this paper. Simulation studies demonstrate the effectiveness of the local ELS learning and control algorithm. © 2007 IEEE.
Source Title: 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/51130
ISBN: 142440441X
DOI: 10.1109/ISIC.2007.4450912
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