Improved Global Robust Stability Criteria for Delayed BAM Neural Networks
作者： Xiaolin Li , Ming Liu
DOI: 10.1007/978-3-642-24965-5_34
关键词:
摘要: This paper is concerned with uniqueness and global robust stability for the equilibrium point of interval bidirectional associative memory (BAM) delayed neural networks. By employing linear matrix inequality Lyapunov functional, a new criterion proposed BAM An example given to show effectiveness present results.
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