Partitioning: A unifying framework for adaptive systems, II: Control

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-processi...

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Published in:Proceedings of the IEEE 1976, Vol.64 (8), p.1182-1198
Main Author: Lainiotis, D.G.
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive systems
Constraint optimization
Control systems
Design optimization
Mathematical model
Optimal control
Partitioning algorithms
Programmable control
Uncertainty
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description 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.
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subjects Adaptive control
Adaptive systems
Constraint optimization
Control systems
Design optimization
Mathematical model
Optimal control
Partitioning algorithms
Programmable control
Uncertainty
title Partitioning: A unifying framework for adaptive systems, II: Control
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