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• W2185945360 abstract "In this paper, an adaptive multiple model predictive controller (AMMPC) based on multiple model switching and tuning strategy and dynamic matrix control (DMC) system is presented to construct switching-tuning adaptive multiple model predictive controller (STAMMPC). Disadvantages of non adaptive multiple model predictive control (MMPC) in regulation and disturbance rejection are discussed and new robust adaptive supervisors to improve the decision making procedures are developed. Experimental results on pH neutralization process show that the proposed decentralized control strategy using STAMMPC algorithm has desirable performance and robustness characteristics and is superior to the other MMPC algorithms, especially in the case of the participation with suggested new adaptive disturbance rejection supervisor. KeywordsAdaptive Multiple Model Predictive Controller; Dynamic Matrix Control; Multiple Model Switching and Tuning; Disturbance Rejection Supervisors; Ph Neutralization Process" @default.
• W2185945360 created "2016-06-24" @default.
• W2185945360 creator A5012657803 @default.
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• W2185945360 date "2014-01-01" @default.
• W2185945360 modified "2023-09-27" @default.
• W2185945360 title "Switching-Tuning Adaptive Multiple Model Predictive Control" @default.
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• W2185945360 hasPublicationYear "2014" @default.
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