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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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