Generalized Predictive Control with Flexible Inequality Constraints

نویسندگان

  • Tao Zou
  • Shao-Yuan Li
چکیده

Generalized predictive control with flexible constraints is investigated. To apply fuzzy technique, the flexible parts in the inequality constraints are fuzzified 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 fuzzified 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. Copyright © 2005 IFAC

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تاریخ انتشار 2005