Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems. (4th May 2015)

• Record Type: Journal Article
• Authors: Yan, Yan; Su, Baili
• Other Names: Li Kang Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-05-04
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/857546
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This paper presents an explicit fuzzy predictive control method for a class of nonlinear systems with constrained inputs. The main idea is to construct a terminal invariant set and explicit predictive controller with affine input on the basis of T-S fuzzy model. This method need not compute the complex nonconvex nonlinear programming problem of earlier nonlinear predictive control methods and decreases the number of optimization variables and guarantees stability of the closed-loop system. The simulation results on a numerical example show the validity of the method presented in this paper.