By Topic

Supervised Adaptive PID Control of Unknown Nonlinear Systems Using Fuzzily Blended Time-Varying Canonical 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

2 Author(s)
Yau-Zen Chang ; Chang Gung Univ., Taoyuan ; Zhi-Ren Tsai

This paper proposes a supervised PID adaptive control scheme for unknown nonlinear systems to enhance system robustness in the face of external disturbances, variation in system parameters, and parameter drift in the adaptation law. The supervising controller is designed based on an on-line identified model in a fuzzily blended time-varying canonical form. The model largely simplifies the identification of the nonlinear plant, and the design of both the supervising controller and the adaptation law. Numerical studies of the tracking control of an uncertain Duffing-Holmes system demonstrate the effectiveness of the proposed control strategy.

Published in:

Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International

Date of Conference:

23-26 July 2007