Learning strictly positive real linear systems with uncertain parameters and unknown input disturbances
SCIE
SCOPUS
- Title
- Learning strictly positive real linear systems with uncertain parameters and unknown input disturbances
- Authors
- Kuc, TY; Lee, JS
- Date Issued
- 1996-05
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Abstract
- A learning control scheme is derived for the learning of strictly positive real (SPR) linear systems. By using the SPR lemma, it is shown that the exponential rate of convergence of the learning system can be set arbitrarily fast by choosing the learning control gain without the use of any normed inequality condition. Copyright (C) 1996 Elsevier Science Ltd.
- Keywords
- strictly positive real system; learning control; input update; learning rule; rate of convergence; robustness
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/21567
- DOI
- 10.1016/0005-1098(96)00001-5
- ISSN
- 0005-1098
- Article Type
- Article
- Citation
- AUTOMATICA, vol. 32, no. 5, page. 791 - 792, 1996-05
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- There are no files associated with this item.
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