A nonlinear predictive control algorithm based on fuzzy online modeling and discrete optimization

Author

Liu, Bin ; Shen, Quan ; Su, Hong-Ye ; Chu, Jian

Author_Institution

Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

Volume

1

fYear

2003

fDate

5-8 Oct. 2003

Firstpage

816

Abstract

A multivariable nonlinear predictive control algorithm based on online fuzzy modeling and discrete optimization is presented for a family of complex systems with strong nonlinearity. The algorithm consists of two part: The first part is online fuzzy modeling using fuzzy clustering and linear identification, the second part is discrete optimization of the control action based on the principle of Branch and Bound method. In the process of fuzzy modeling, the unsupervised fuzzy competitive algorithm and a discarding criterion are introduced to ensure the fuzzy model can trace the system dynamics in time. The effectiveness and advantage of the presented algorithm are illustrated two numerical examples.

Keywords

fuzzy set theory; large-scale systems; multivariable control systems; nonlinear control systems; optimisation; predictive control; tree searching; branch and bound method; complex systems; discrete optimization; fuzzy clustering; fuzzy online modeling; multivariable nonlinear predictive control algorithm; unsupervised fuzzy competitive algorithm; 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

Systems, Man and Cybernetics, 2003. IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7952-7

Type

conf

DOI

10.1109/ICSMC.2003.1243915

Filename

1243915