Title :
Indirect adaptive fuzzy control of discrete-time nonlinear systems
Author :
Yuan, Z.D. ; Hou, S.H.
Author_Institution :
Dept. of Math., East China Normal Univ., Shanghai, China
Abstract :
In this paper, an indirect adaptive controller based on fuzzy logic systems is shown to provide the tracking of a reference signal for a class of discrete-time nonlinear systems. The fuzzy logic system is used as the system model of the plant dynamics that are unknown, and the adaptive controller is then constructed based on the model. Assuming the modelling error is bounded, it is proved that the resulting closed-loop control system is globally stable in the sense that both the input and output signals are uniformly bounded, and the tracking error is within a limited band. Simulation examples are given
Keywords :
adaptive control; closed loop systems; discrete time systems; dynamics; fuzzy control; nonlinear systems; stability; tracking; closed-loop system; discrete-time systems; dynamics; fuzzy control; global stability; indirect adaptive control; modelling error; nonlinear systems; reference signals; tracking error; Adaptive control; Control system synthesis; Control systems; Error correction; Fuzzy control; Fuzzy logic; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862778
