Title :
Adaptive fuzzy control for a class of nonlinear systems with adaptation compensator
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
Abstract :
An indirect adaptive fuzzy control scheme is developed for a class of nonlinear systems. In this scheme, the fuzzy systems are used to proximate unknown nonlinear functions, and the adaptation robustness term is used to compensate the approximation errors. The proposed design scheme guarantees that all the signals in the resulting closed-loop system are bounded, and the tracking error converges to the origin. Simulation results indicate the effectiveness of this scheme.
Keywords :
adaptive control; closed loop systems; error compensation; fuzzy control; nonlinear control systems; nonlinear functions; robust control; adaptation compensator; adaptive fuzzy control; approximation errors compensation; closed loop system; nonlinear control systems; nonlinear functions; robustness; tracking error; Adaptive systems; Approximation methods; Fuzzy control; Fuzzy sets; Nonlinear systems; Robustness;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952773
