Title :
A new indirect adaptive fuzzy control for a class of SISO nonlinear discrete-time systems
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
Abstract :
A new indirect adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. To avoid the possible controller singularity problem, the controller, which is designed by fuzzy logic systems, is derived from quadratic performance index, and the time-varying gain adaptive laws are used to adjust the unknown parameters. The proposed design scheme guarantees that all the signals in the resulting closed-loop system are bounded, and the generalized tracking error converges to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.
Keywords :
adaptive control; closed loop systems; control system synthesis; discrete time systems; fuzzy control; fuzzy logic; nonlinear control systems; performance index; time-varying systems; SISO system; closed loop system; controller singularity problem; fuzzy logic system; indirect adaptive fuzzy control scheme; nonlinear discrete time system; quadratic performance index; time varying gain adaptive law; tracking error; unknown parameters; Adaptive systems; Approximation error; Control systems; Fuzzy control; Fuzzy logic;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019473
