DocumentCode :
486424
Title :
Adaptive Control for Time-Variant Processes
Author :
Martin-Sánchez, Juan M.
Author_Institution :
Department of Chemical Engineering, University of Alberta, Edmonton, Alberta, Canada. T6G 2G6
fYear :
1985
fDate :
19-21 June 1985
Firstpage :
1260
Lastpage :
1268
Abstract :
This paper establishes conditions of global stability for adaptive predictive control systems (APCS), when applied to a general class of multivariable, stochastic, time-variant, stable-inverse processes with time delays. These conditions rely on assumed convergence properties of the APCS estimation scheme. Therefore, the design of stable APCS, or the research of APCS stability proofs, for time-variant processes proceeds, under this perspective, with the design and analysis of estimation schemes which may satisfy the required convergence properties. Using this approach, an asymptotically stable APCS is derived for a class of time-variant processes with a finite number of bounded changes in their parameter values and a perturbation vector with a finite l2 norm. The methodology used to derive the convergent estimation scheme has a general scope and is conceptually simple.
Keywords :
Adaptive control; Adaptive systems; Chemical engineering; Convergence; Delay effects; Error correction; Predictive control; Programmable control; Stability analysis; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1985
Conference_Location :
Boston, MA, USA
Type :
conf
Filename :
4788813
Link To Document :
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