New LMI robust stability criteria of uncertain bidirectional associative memory neural networks
This paper deals with the uniqueness and stability problem for uncertain bidirectional associative memory (BAM) neural networks with time-varying delays. Based on the Lyapunov-Krasovskii functional approach and free-weighting matrices method, new delay-dependent stability criteria with two classes of system uncertainties are presented in terms of linear matrix inequalities (LMIs). By using the Jensen integral inequality, the obtained results are less conservative than some previous ones. Four examples are given to illustrate the effectiveness of our proposed conditions.
Keywords: Global robust exponential stability; globally exponential stability; linear matrix inequality (LMI); bidirectional associative memory (BAM) neural networks; Jensen integral inequality
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ABOUT THE AUTHOR
Jun Wang
Dalian Jiaotong University
Jun Wang
Dalian Jiaotong University
