Title :
Compound fuzzy adaptive control for nonlinear process with delay
Author :
Bing, Xiao ; Mao Zonguan
Author_Institution :
South China Univ. of Technol., Guangzhou, China
Abstract :
This paper focuses on nonlinear plants with long dead-time and unknown parameters which are dependent on known variables. A compound fuzzy adaptive controller is proposed which is based on Smith predictor and model-reference adaptation. Different with the theoretical robust controllers for nonlinear plants with time delays, the controller has good engineering generality and is easy to implement. High dynamical performance can be obtained for the control system, as well as the stability and convergence properties are theoretically proofed
Keywords :
convergence; delays; fuzzy control; model reference adaptive control systems; nonlinear control systems; predictive control; robust control; Smith predictor; compound fuzzy adaptive control; convergence; delay; long dead-time; model-reference adaptation; nonlinear process; robust controllers; unknown parameters; Adaptation model; Adaptive control; Control systems; Convergence; Delay effects; Fuzzy control; Predictive models; Programmable control; Robust control; Stability;
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.2000.862760
