Title :
A simple redesign of adaptive control for nonlinear parametric models with state variable filters
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 and state variable filters, is considered in the present 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 with state variable filters and estimation errors of the observers.
Keywords :
adaptive control; control system synthesis; damping; feedback; neurocontrollers; nonlinear control systems; observers; stability; adaptive control redesign; control structures; high-gain observers; neural network; nonlinear damping feedback schemes; nonlinear parametric models; observer estimation errors; semiglobal stability; state variable filters; Adaptive control; Adaptive filters; Control systems; Damping; Design methodology; Nonlinear control systems; Observers; Parametric statistics; Stability; State feedback; adaptive control; high-gain observer; neural network; nonlinear parametric model;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4421027
