Application of iterative suboptimal strategies for improving adaptation transients in adaptive systems
作者:
M.DE LA SEN,
期刊:
International Journal of Systems Science
(Taylor Available online 1987)
卷期:
Volume 18,
issue 11
页码: 2117-2143
ISSN:0020-7721
年代: 1987
DOI:10.1080/00207728708967177
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Some solutions which involve iterative optimization techniques are given to improve adaptation transients in adaptive systems. Two suboptimal controllers are developed and applied to an equivalent discrete-time system valid for describing the behaviour of a recent adaptive control scheme when one of the (time-varying) parameters entering the adaptation algorithm varies within a closed domain admissible from a convergence point of view. The resulting suboptimal control strategies are translated into corrections of this parameter in order to recompute the adaptation algorithm over a finite horizon. Some numerical simulations illustrate the usefulness of the proposed scheme.
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