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Getting a Suitable Terminal Cost and Maximizing the Terminal Region for MPC

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  • Wang Ya-feng
  • Sun Fu-chun
  • Zhang You-an
  • Liu Hua-ping
  • Min Haibo

Abstract

The model predictive control (MPC) subject to control and state constraint is studied. Given a terminal cost, a terminal region is obtained through iterative estimation by using support vector machine (SVM). It is proved that the obtained terminal region is the largest terminal region when the terminal cost is given. The relationships between terminal cost and terminal region and between terminal cost and total cost are discussed, respectively. Based on these relationships, a simple method to get a suitable terminal cost is proposed and it can be adjusted according to our need. Finally, some experiment results are presented.

Suggested Citation

  • Wang Ya-feng & Sun Fu-chun & Zhang You-an & Liu Hua-ping & Min Haibo, 2010. "Getting a Suitable Terminal Cost and Maximizing the Terminal Region for MPC," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-16, October.
    • Handle: RePEc:hin:jnlmpe:853679
    DOI: 10.1155/2010/853679
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