DocumentCode
2436441
Title
On the stability and convergence of self-tuning control systems (I) - Deterministic plant
Author
Zhang, Weicun ; Choi, Jin Young
Author_Institution
Univ. of Sci. & Technol. Beijing, Beijing
fYear
2007
fDate
17-20 Oct. 2007
Firstpage
310
Lastpage
314
Abstract
This paper attempted to address the open problem - a general theory of parameter adaptive control (deterministic plant). By delivering three criteria on the stability and convergence of deterministic self-tuning control systems, we show that virtual equivalent system concept and methodology might lead to a general theory for adaptive control system. Actually with the presented criteria, a unified analysis of deterministic self-tuning control systems is carried out. Specifically, two criteria are used to judge the stability and convergence of deterministic self-tuning control systems, which are independent of specific controller design strategy and specific parameter estimation algorithm. And the third criterion is used to judge the stability and convergence of one-step ahead self-tuning control with arbitrary parameter estimation algorithms.
Keywords
adaptive control; control system synthesis; convergence; parameter estimation; self-adjusting systems; stability; control system stability; controller design strategy; deterministic self-tuning control systems; parameter adaptive control; parameter estimation algorithm; virtual equivalent system; Adaptive control; Algorithm design and analysis; Automatic control; Automation; Control systems; Convergence; Error correction; Parameter estimation; Programmable control; Stability criteria; convergence; deterministic self-tuning control; stability; virtual equivalent system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location
Seoul
Print_ISBN
978-89-950038-6-2
Electronic_ISBN
978-89-950038-6-2
Type
conf
DOI
10.1109/ICCAS.2007.4406928
Filename
4406928
Link To Document