DocumentCode
945787
Title
Partitioning: A unifying framework for adaptive systems, II: Control
Author
Lainiotis, Demetrios G.
Author_Institution
State University of New York at Buffalo, Amherst, NY
Volume
64
Issue
8
fYear
1976
Firstpage
1182
Lastpage
1198
Abstract
In this paper, partitioning and the associated partitioned adaptive control algorithms are shown to constitute a unifying framework for adaptive control. Moreover, the partitioned adaptive controls (PAC´s) are shown to have several interesting properties as well as a decoupled parallel-processing structure that is computationally attractive. Finally, using the partitioning framework and a related general class of PAC´s the adaptive control problem is treated from a global viewpoint that unifies seemingly unrelated previously obtained suboptimal adaptive controls, and, most importantly, yields fundamentally new adaptive control algorithms. These new control algorithms are shown to have several important properties from both a theoretical and a realization or computational standpoint.
Keywords
Adaptive control; Adaptive systems; Constraint optimization; Control systems; Design optimization; Mathematical model; Optimal control; Partitioning algorithms; Programmable control; Uncertainty;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1976.10289
Filename
1454558
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