DocumentCode :
2670581
Title :
The convergence of parameter estimates and the real structure information of plant are both unnecessary for a general self-tuning control system - Arbitrary deterministic plant
Author :
Zhang, Weicun ; Li, Qing ; Xu, Yinmei ; Feng, Tao
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
2012
Lastpage :
2018
Abstract :
This paper is concerned with the stability and convergence of a general deterministic self-tuning control (STC) system, which consists of arbitrary control strategy and arbitrary estimation algorithm. The plant may be linear or non-linear, time-invariant or time varying. The conditions required for global stability and convergence are relaxed, i.e., the convergence of parameter estimates and the real structure information of plant are both removed. It is therefore argued that external excitation signal is not necessary for deterministic STC system. In other words, feedback information of STC system itself is sufficient to achieve the control objective (regulation or tracking). The key point is that with the help of Virtual Equivalent System (VES) concept, the original nonlinear dominant (nonlinear in structure) problem of STC is converted to a linear dominant (linear in structure) problem-deterministic slow switching control system.
Keywords :
adaptive control; convergence; feedback; linear systems; nonlinear control systems; parameter estimation; self-adjusting systems; stability; time-varying systems; tracking; STC system; VES; arbitrary control strategy; arbitrary estimation algorithm; control objective; convergence; deterministic self-tuning control system; deterministic slow switching control system; feedback information; global stability; linear dominant problem; linear plant; nonlinear dominant problem; nonlinear plant; parameter estimation; plant real structure information; regulation; time-invariant plant; time-varying plant; tracking; virtual equivalent system; Adaptive control; Convergence; Estimation; Stability criteria; Switches; convergence; deterministic self-tuning control; slow switching; stability; virtual equivalent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6244324
Filename :
6244324
Link To Document :
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