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|Title:||New stability criteria for Cohen-Grossberg neural networks with time delays|
|Citation:||IET Control Theory and Applications, 2009; 3(9):1275-1282|
|Publisher:||The Institution of Engineering and Technology|
|L. Hu, H. Gao, P. Shi|
|Abstract:||The asymptotic stability is investigated for a class of time-delay Cohen-Grossberg neural networks, either with or without parameter uncertainties. By introducing a novel Lyapunov functional with the ideal of delay fractioning, a new criterion of asymptotic stability is derived in terms of a linear matrix inequality (LMI), which can be efficiently solved via standard numerical software. The criterion proves to be less conservative and the conservatism could be notably reduced by thinning the delay fractioning. Two examples are provided to demonstrate the less conservatism and effectiveness of the proposed stability conditions.|
|Rights:||© The Institution of Engineering and Technology 2009|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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