Delay-dependent exponential estimates of stochastic neural networks with time delay
Shu, Zhan and Lam, James (2006) Delay-dependent exponential estimates of stochastic neural networks with time delay. In, King, Irwin, Wang, Jung, Lai, Wan and Wang, DeLiang (eds.) Neural Information Processing. ICONIP 2006 Heidelberg, DE, Springer, 332-341. (Lecture Notes in Computer Science, 4232/2006). (doi:10.1007/11893028_38).
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This paper is concerned with the exponential estimating problem for a class of stochastic neural networks with time delay. A sufficient condition, which does not only guarantee the exponential stability but also gives the estimates of decay rate and decay coefficient, is established in terms of a new Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) technique. The estimating procedure is implemented by solving a set of LMIs, which can be checked easily by effective algorithms. A numerical example is provided to illustrate the effectiveness of the theoretical results.
|Item Type:||Book Section|
|Keywords:||exponential estimates, linear matrix inequalities (lmis), stochastic neural networks, time delay|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Divisions:||Faculty of Engineering and the Environment > Engineering Sciences > Electro-Mechanical Research Group
|Date Deposited:||01 Nov 2011 10:28|
|Last Modified:||02 Nov 2011 16:57|
|Contributors:||Shu, Zhan (Author)
Lam, James (Author)
King, Irwin (Editor)
Wang, Jung (Editor)
Lai, Wan (Editor)
Wang, DeLiang (Editor)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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