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|Title:||Exponential stability analysis for neural networks with time-varying delay|
|Citation:||IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 2008; 38(4):1152-1156|
|Publisher:||IEEE-Inst Electrical Electronics Engineers Inc|
|Min Wu, Fang Liu, Peng Shi, Yong He, and Ryuichi Yokoyama|
|Abstract:||This correspondence paper focuses on the problem of exponential stability for neural networks with a time-varying delay. The relationship among the time-varying delay, its upper bound, and their difference is taken into account. As a result, an improved linear-matrix-inequality-based delay-dependent exponential stability criterion is obtained without ignoring any terms in the derivative of Lyapunov-Krasovskii functional. Two numerical examples are given to demonstrate its effectiveness.|
|Keywords:||Algorithms; Neural Networks (Computer); Models, Theoretical; Computer Simulation|
|Rights:||© 2008 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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