Hongtao LuSummaryAffiliation: Shanghai Jiaotong University Country: China Publications
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Publications
Some sufficient conditions for global exponential stability of delayed Hopfield neural networksHongtao Lu
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
Neural Netw 17:537-44. 2004..The proposed conditions are related to p-norms of vector or matrix, p in [1, infinity] and thus unify and generalize some results in the literature...
Global exponential stability of delayed competitive neural networks with different time scalesHongtao Lu
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, People s Republic of China
Neural Netw 18:243-50. 2005....
Global exponential stability of multitime scale competitive neural networks with nonsmooth functionsHongtao Lu
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
IEEE Trans Neural Netw 17:1152-64. 2006..Numerical simulations are conducted to illustrate the effectiveness of the derived conditions in characterizing stability regions of the neural network...
Vigilance detection based on sparse representation of EEGHongbin Yu
Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road Min, Hang District, China
Conf Proc IEEE Eng Med Biol Soc 2010:2439-42. 2010....
Global exponential convergence of Cohen-Grossberg neural networks with time delaysHongtao Lu
IEEE Trans Neural Netw 16:1694-6. 2005..Therefore, the proposed condition generalizes some previous results in the literature...
Comments on "A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks"Hongtao Lu
IEEE Trans Neural Netw 16:778-9. 2005..As a result, we also answer the question raised by the author of the above paper...
