By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chengli Su ; Sch. of Inf. Eng., Liaoning Univ. of Pet. & Chem. Technol., Fushun ; Ping Li ; Shuqing Wang

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

Published in:

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on  (Volume:3 )

Date of Conference:

16-18 Oct. 2006