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

Yafeng Wang | Zendy; Sun Fuchun | Zendy; Youan Zhang | Zendy; Huaping Liu | Zendy; Min Haibo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Yafeng Wang,

Sun Fuchun,

Youan Zhang,

Huaping Liu,

Min Haibo

Publication year - 2010

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2010/853679

Subject(s) - terminal (telecommunication) , constraint (computer aided design) , computer science , mathematical optimization , model predictive control , control (management) , mathematics , artificial intelligence , computer network , geometry

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research