Journal
INFORMATION SCIENCES
Volume 346, Issue -, Pages 412-423Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2016.02.004
Keywords
L-infinity performance; Neural network; Feedback interconnection; Time-varying delay
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Funding
- National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [NRF-2014R1A1A1006101]
- Human Resources program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) from the Ministry of Trade, Industry & Energy, Republic of Korea [20154030200610]
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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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