Poom JatunitanonSarawoot WatechagitWithit ChatlatanaguchaiKasetsart UniversityMahidol University2019-08-282019-08-282018-01-01Songklanakarin Journal of Science and Technology. Vol.40, No.1 (2018), 205-218012533952-s2.0-85044170758https://repository.li.mahidol.ac.th/handle/123456789/47539© 2018, Prince of Songkla University. All rights reserved. A modern controller was designed by using the mathematical model of a multi–zone thermal plate system. An important requirement for this type of controller is that it must be able to keep the temperature set-point of each thermal zone. The mathematical model used in the design was determined through a system identification process. The results showed that when the operating condition is changed, the performance of the controller may be reduced as a result of the system parameter uncertainties. This paper proposes a weighting technique of combining the robust model predictive controller for each operating condition into a single robust multi-model predictive control. Simulation and experimental results showed that the proposed method performed better than the conventional multi-model predictive control in rise time of transient response, when used in a system designed to work over a wide range of operating conditions.Mahidol UniversityMultidisciplinaryArticleSCOPUS10.14456/sjst-psu.2018.26