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• W2013906510 abstract "Reliable power and temperature control in pressurized water reactor (PWR) nuclear power plant is necessary to guarantee high efficiency and plant safety. Since the nuclear plants are quite nonlinear, the paper presents nonlinear fuzzy model predictive control (MPC), by incorporating the realistic constraints, to realize the plant optimization. T-S fuzzy modeling on nuclear power plant is utilized to approximate the nonlinear plant, based on which the nonlinear MPC controller is devised via parallel distributed compensation (PDC) scheme in order to solve the nonlinear constraint optimization problem. Improved performance compared to the traditional PID controller for a TMI-type PWR is obtained in the simulation." @default.
• W2013906510 created "2016-06-24" @default.
• W2013906510 creator A5019966892 @default.
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• W2013906510 date "2014-01-01" @default.
• W2013906510 modified "2023-10-18" @default.
• W2013906510 title "Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant" @default.
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• W2013906510 doi "https://doi.org/10.1155/2014/908526" @default.
• W2013906510 hasPublicationYear "2014" @default.
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