A Direct Adaptive Predictive Functional Control Based on T-S Fuzzy Model

Author

Su, Chengli ; Li, Ping ; Wang, Shuqing

Author_Institution

Sch. of Inf. Eng., Liaoning Univ. of Pet. & Chem. Technol., Fushun

Volume

3

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

92

Lastpage

97

Abstract

An adaptive predictive functional control algorithm based on T-S fuzzy model for discrete-time nonlinear systems is proposed. In this algorithm the consequent parameters of T-S fuzzy model are identified by the weighting recursive least square method. Parameters of the fuzzy model are used to directly recursively compute the model prediction output, and needn´t solve Diophantine equations. Analysis solution of the predictive control input is derived. Simulation result shows that the proposed algorithm is an effective control strategy with excellent tracing ability and strong robustness

Keywords

adaptive control; control system analysis; discrete time systems; fuzzy control; least squares approximations; nonlinear control systems; predictive control; robust control; Diophantine equations; T-S fuzzy model; adaptive control; direct adaptive predictive functional control; discrete-time nonlinear systems; predictive control; robustness; weighting recursive least square method; Adaptive control; Fuzzy control; Fuzzy systems; Least squares methods; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Prediction algorithms; Predictive models; Programmable control; Adaptive control; Nonlinear systems; Predictive; T-S fuzzy model; functional control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.1

Filename

4021865