Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems

被引：1

作者：

Yan, Yan ^{[1
]}

Su, Baili ^{[1
]}

机构：

[1] Qufu Normal Univ, Sch Elect Informat & Automat, Rizhao 276826, Shandong, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2015年 / 2015卷

基金：

中国国家自然科学基金;

关键词：

Model predictive control - Nonlinear programming - Numerical methods - Nonlinear systems - Controllers - Predictive control systems;

D O I：

10.1155/2015/857546

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页数：7

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