Generalized Predictive Control with Flexible Inequality Constraints
| Authors: | Zou Tao, Shanghai Jiaotong University, China
Li Shao-Yuan, Shanghai Jiaotong University, China |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Soft Computing for Control |
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| Keywords: | Generalized predictive control, Fuzzification, Constraint satisfaction, Decision making |
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Abstract
Generalized predictive control with flexible constraints is investigated. To apply fuzzy technique, the flexible parts in the inequality constraints are fuzzied as fuzzy constraints. The optimization problem of the generalized predictive control with flexible inequality constraints is converted into two sub-problems to get the lower and upper bound of the objective values, and then the objective of generalized predictive control can be fuzzied too. When the constraints and objective of the control system are all in fuzzy uncertainty environment, fuzzy decision making method can be used to solve the problem. Simulation result proves the validity of this algorithm.
