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Global robust asymptotic stability of variable-time impulsive BAM neural networks
Affiliation:1. Department of Mathematics, Middle East Technical University, 06531 Ankara, Turkey;2. Gazi University, Polatlı Faculty of Science and Arts, Department of Mathematics, 06900 Ankara, Turkey;3. Institute of Applied Mathematics, Middle East Technical University, 06531 Ankara, Turkey;1. School of Electronic Engineering, University of Electronics Science and Technology of China, Chengdu 611731, China;2. College of Science, China University of Petroleum, Qingdao 266580, China;1. School of Computer Science, Adaptive Systems Research Group University of Hertfordshire, Collage Lane Campus, College Ln, Hatfield, Hertfordshire AL10 9AB, United Kingdom;2. Clermont University, Blaise Pascal University, Pascal Institute, BP 10448, F-63000 Clermont-Ferrand, France;3. CNRS, UMR 6602, Pascal Institute, F-63171 Aubiere, France;4. Istituto di Scienze e Tecnologie della Cognizione - CNR, Via S. Martino della Battaglia, 44 - 00185 Rome, Italy;1. Department of Computer Engineering, Adana Science and Technology University, Adana, Turkey;2. Department of Biomedical Engineering, University of Cukurova, Adana, Turkey;1. Department of Mathematics and Physics, Fujian University of Technology, Fuzhou, Fujian 350118, China;2. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Abstract:
Keywords:Global robust asymptotic stability  Impulsive BAM neural networks  Asymptotic stability  Linear matrix inequality
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