Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0098-1354(99)80062-3
Title: A multiple model approach to nonlinear internal model control design
Authors: Cui, S.
Chiu, M.-S. 
Keywords: Global multiple model
Internal model control
Model validity function
Robust control
Structured singular value
Time-varying perturbation
Issue Date: 1-Jun-1999
Citation: Cui, S., Chiu, M.-S. (1999-06-01). A multiple model approach to nonlinear internal model control design. Computers and Chemical Engineering 23 (SUPPL. 1) : S253-S256. ScholarBank@NUS Repository. https://doi.org/10.1016/S0098-1354(99)80062-3
Abstract: A nonlinear internal model control (NIMC) design using multiple model is proposed. In this design approach, the process model is described via validity functions as the weighted sum of a set of local models. Subsequently, an approximate inverse of the process model is constructed in order to design NIMC controller. It is shown that the validity functions can be treated as time-varying uncertainties in the resultant NIMC structure, and a structured singular value test for mixed time-varying and time-invariant perturbations is used to assess the performance limitation of the proposed NIMC design. Simulation results of a continuous stirred tank reactor illustrate that the proposed NIMC design method is superior to the conventional IMC design. © 1999 Elsevier Science Ltd.
Source Title: Computers and Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/75183
ISSN: 00981354
DOI: 10.1016/S0098-1354(99)80062-3
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