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L-infinity performance of single and interconnected neural networks with time-varying delay
- Authors
- Ahn, Choon Ki; Shi, Peng; Agarwal, Ramesh K.; Xue, Jing
- Issue Date
- 10-Jun-2016
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- L-infinity performance; Neural network; Feedback interconnection; Time-varying delay
- Citation
- INFORMATION SCIENCES, v.346, pp.412 - 423
- Indexed
- SCIE
SCOPUS
- Journal Title
- INFORMATION SCIENCES
- Volume
- 346
- Start Page
- 412
- End Page
- 423
- ISSN
- 0020-0255
- Abstract
- This paper is concerned with the L-infinity performance analysis problem for time-varying delayed neural networks. First, a condition is proposed for the L-infinity performance of single neural networks with time-varying delay and persistent bounded input based on the Wirtinger-type inequality together with the reciprocal convex approach. Then, sufficient conditions are established to ensure the performance of interconnected neural networks with time-varying delay. Numerical examples are provided to show the effectiveness of the presented results. (C) 2016 Elsevier Inc. All rights reserved.
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Related Researcher
- Ahn, Choon ki
- College of Engineering (School of Electrical Engineering)