Journal
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
Volume 28, Issue 11, Pages 1227-1239Publisher
WILEY
DOI: 10.1002/acs.2440
Keywords
global exponential stability; impulsive cellular neural networks; supremums; Lyapunov method
Funding
- Project of Shandong Province Higher Educational Science and Technology Program [J12LI04]
- Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province [BS2012DX039]
- National Natural Science Foundation of China [11226136, 11301308]
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In this paper, we study the problem of global exponential stability for impulsive cellular neural networks with time-varying delays and supremums. Using Young's inequality and Lyapunov-like functions, new stability criteria are proved. Because supremums and impulses are relevant in various contexts, including problems in the theory of automatic control, our results can be applied in the qualitative investigations of many practical problems of diverse interest. Copyright (c) 2013 John Wiley & Sons, Ltd.
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