Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0009-2509(01)00346-3
Title: A multiple-model approach to decentralized internal model control design
Authors: Tan, G.T.
Chiu, M.-S. 
Keywords: Internal model control
LTI uncertainty
LTV uncertainty
Multiple model
Structured singular value
Issue Date: 30-Nov-2001
Source: Tan, G.T., Chiu, M.-S. (2001-11-30). A multiple-model approach to decentralized internal model control design. Chemical Engineering Science 56 (23) : 6651-6660. ScholarBank@NUS Repository. https://doi.org/10.1016/S0009-2509(01)00346-3
Abstract: This paper presents a new decentralized internal model control (IMC) design method for controlling the multi-input multi-output plants that are subject to multiple operating regimes. Under this situation, the existing decentralized IMC design methods may become inadequate and conservative to be used for the resulting control problem mainly because they are developed based on a single model. To reduce the inherent conservatism in the existing design methods, a global multiple-model that accurately describes the plant in the operating space is incorporated into the proposed decentralized IMC design method. Simulation results illustrate that the proposed method is indeed less conservative than its conventional counterpart in controlling a plant with a range of operating points. © 2001 Elsevier Science Ltd. All rights reserved.
Source Title: Chemical Engineering Science
URI: http://scholarbank.nus.edu.sg/handle/10635/54466
ISSN: 00092509
DOI: 10.1016/S0009-2509(01)00346-3
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