Adaptive control of a class of nonlinear systems with a first-order parameterized Sugeno fuzzy approximator

Author

Alata, Mohanad ; Su, Chun-Yi ; Demirli, Kudret

Author_Institution

Dept. of Mech. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan

Volume

31

Issue

3

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

410

Lastpage

419

Abstract

In this paper, an adaptive fuzzy control scheme for tracking a class of continuous-time plants is presented. A parameterized Sugeno fuzzy approximator is used to adaptively compensate for the plant nonlinearities. All parameters in the fuzzy approximator are tuned using a Lyapunov-based design. In the fuzzy approximator, first-order Sugeno consequents are used in the IF-THEN rules of the fuzzy system, which has a better approximation capability than those using constant consequents. Global boundedness of the adaptive system is established. Finally, a simulation is used to demonstrate the effectiveness of the proposed controller

Keywords

Lyapunov methods; adaptive control; adaptive systems; continuous time systems; fuzzy control; fuzzy systems; nonlinear control systems; IF-THEN rules; Lyapunov-based design; adaptive fuzzy control scheme; continuous-time plants; first-order parameterized Sugeno fuzzy approximator; fuzzy system; global boundedness; nonlinear systems; plant nonlinearities; simulation; tracking; Adaptive control; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Robust stability;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Publisher

ieee

ISSN

1094-6977

Type

jour

DOI

10.1109/5326.971670

Filename

971670