A fuzzy predictive control algorithm based on discrete optimization and its application to nonlinear systems

Author

Liu, Bin ; Jiang, Zheng ; Fang, Kangling

Author_Institution

Coll. of Inf. & Eng., Wuhan Univ. of Sci. & Technol., China

Volume

4

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

2506

Abstract

A fuzzy predictive control algorithm based on fuzzy model and discrete optimization is presented for a family of complex systems with high nonlinearity. In order to implement nonlinear predictive control of the controlled plant, the T-S fuzzy predictive model is built online using fuzzy clustering and linear identification, and discrete optimization of the control action is implemented according to the principle of branch and bound method. The effectiveness and advantage of the presented algorithm are demonstrated by applying the algorithm to two nonlinear system models.

Keywords

fuzzy control; identification; nonlinear control systems; optimisation; predictive control; statistical analysis; tree searching; T-S fuzzy predictive model; branch and bound method; discrete optimization; fuzzy clustering; fuzzy predictive control algorithm; linear identification; nonlinear control systems; Clustering algorithms; Fuzzy control; Fuzzy systems; Iterative algorithms; Mathematical model; Nonlinear systems; Optimization methods; Prediction algorithms; Predictive control; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259935

Filename

1259935