Abstract
An impulsive Cohen-Grossberg-type BAM neural network with time-varying delays and diffusion terms is investigated. By using suitable Lypunov functional and the properties of M-matrix, sufficient conditions to guarantee the uniqueness and global exponential stability of the equilibrium solution of such networks are established.
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Liu, Q., Xu, R., Du, Y. (2010). Stability Analysis of an Impulsive Cohen-Grossberg-Type BAM Neural Networks with Time-Varying Delays and Diffusion Terms. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15597-0_30
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DOI: https://doi.org/10.1007/978-3-642-15597-0_30
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