Title :
Model-reference Adaptive Control Based on Associate Memory Network
Author :
Liu, Xiangjie ; Liu, Jizhen
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Beijing
Abstract :
Model-reference adaptive control with neurofuzzy methodology is derived. Associate memory network (AMN) is investigated in detail to be the possible implementation as the direct self-tuning nonlinear controller for a class of nonlinear system. The essence of the neurofuzzy controller and the local stability of the system are discussed. The performance is illustrated by examples involving both linear and nonlinear systems
Keywords :
adaptive control; content-addressable storage; fuzzy neural nets; neurocontrollers; nonlinear control systems; stability; associate memory network; local system stability; model-reference adaptive control; neurofuzzy controller; self-tuning nonlinear controller; Adaptive control; Automatic control; Automation; Control systems; Intelligent control; Nonlinear control systems; Nonlinear systems; Spline; Stability; model-reference adaptive control; neurofuzzy networks; nonlinear controller;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712773
