Title :
Controllability and Convergence of Estimated Model (Parameters) Are Both Unnecessary for Adaptive Pole-Assignment
Author :
Zhang, Weicun ; Qu, Bin
Author_Institution :
Dept. of Autom., Beijing Univ. of Sci. & Technol.
Abstract :
This paper presents a new approach: virtual equivalent system method to analyze adaptive pole-assignment control system. With the help of the new method and model order reduction, a criterion was developed to judge the stability and convergence of adaptive pole-assignment control system, which shows that neither controllability nor convergence of estimated model (parameters) is necessary for adaptive pole-assignment
Keywords :
adaptive systems; control systems; pole assignment; adaptive pole-assignment control system; model order reduction; virtual equivalent system method; Adaptive control; Adaptive systems; Control system analysis; Control system synthesis; Control systems; Controllability; Convergence; Parameter estimation; Programmable control; Stability criteria; Adaptive pole-assignment; controllability; convergence; virtual equivalent system;
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.2006.314916
