Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIC.2007.4450912
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dc.titleDecentralized Å3ström-Wittenmark self-tuning regulator of a multi-agent uncertain coupled ARMAX system
dc.contributor.authorMa, H.
dc.contributor.authorLum, K.-Y.
dc.contributor.authorGe, S.S.
dc.date.accessioned2014-04-24T08:34:07Z
dc.date.available2014-04-24T08:34:07Z
dc.date.issued2008
dc.identifier.citationMa, 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. <a href="https://doi.org/10.1109/ISIC.2007.4450912" target="_blank">https://doi.org/10.1109/ISIC.2007.4450912</a>
dc.identifier.isbn142440441X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51130
dc.description.abstractAdaptive 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ISIC.2007.4450912
dc.sourceScopus
dc.subjectÅström-Wittenmark self-tuning regulator
dc.subjectARMAX
dc.subjectDecentralized adaptive control
dc.subjectELS
dc.subjectMulti-agent system
dc.subjectUncertainty
dc.typeConference Paper
dc.contributor.departmentTEMASEK LABORATORIES
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ISIC.2007.4450912
dc.description.sourcetitle22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control
dc.description.page363-368
dc.identifier.isiutNOT_IN_WOS
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