In this paper, the global robust stability is investigated for interval neural networks with multiple time-varying delays. The neural network contains time-invariant uncertain parameters whose values are unknown but bounded in given compact sets. Without assuming both the boundedness on the activati
Robust stability analysis of interval systems with multiple time-varying delays: Evolutionary programming approach
โ Scribed by Jun-Juh Yan; Jason Sheng-Hong Tsai; Fan-Chu Kung
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 390 KB
- Volume
- 336
- Category
- Article
- ISSN
- 0016-0032
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โฆ Synopsis
This paper intends to derive a sufficient condition for the robust stability analysis of interval systems with multiple time-varying delays. An evolutionary programming (EP) approach is presented for solving an eigenvalue location optimization problem, which will be defined later, such that the robust stability of interval time-delay systems can be ensured. Some systems considered in the previous reports are included as special cases. Examples are given to verify our method which yields less conservative results than those appeared in the literature. 4~) 1999 The Franklin Institute. Published by Elsevier Science Ltd.
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