Title :
A Simple Redesign of Adaptive Control for Nonlinear Parametric Models
Author :
Miyasato, Yoshihiko
Author_Institution :
Inst. of Stat. Math., Tokyo
Abstract :
A simple design method of adaptive control for processes which are described via nonlinear parametric models, is considered in this manuscript. It is shown that the proposed design procedure can be applied to high relative degree cases without complicated control structures, and that semi-global stability of the control systems is assured. High-gain observers are introduced to simplify the overall control structures, and nonlinear damping feedback schemes are employed so as to stabilize control systems for nonlinear parametric models and estimation errors of the observers
Keywords :
adaptive control; control system synthesis; damping; error statistics; estimation theory; feedback; neurocontrollers; nonlinear systems; observers; stability; adaptive control design; control system stability; estimation error; high-gain observer; neural network; nonlinear damping feedback; nonlinear parametric model; Adaptive control; Control system synthesis; Control systems; Damping; Design methodology; Estimation error; Feedback; Nonlinear control systems; Parametric statistics; Stability; adaptive control; high-gain observer; neural network; nonlinear parametric model;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315109
