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Mathematical Problems in Engineering
Volume 2015, Article ID 857546, 7 pages
http://dx.doi.org/10.1155/2015/857546
Research Article

Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems

School of Electrical Information and Automation, Qufu Normal University, Rizhao, Shandong 276826, China

Received 31 March 2014; Accepted 26 August 2014

Academic Editor: Kang Li

Copyright © 2015 Yan Yan and Baili Su. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.