Passivity analysis for uncertain time-varying delayed neural networks with neutral type

研究成果: Conference contribution

4 引文 (Scopus)

摘要

This paper considers the problem of robust delay-dependent Passivity analysis for time-varying delayed neural networks described by nonlinear delay differential equations of the neutral type, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Both delay-dependent and delay-independent passivity conditions are proposed by using more general Lyapunov-Krasovskii functionals. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by recently using standard algorithms. An illustrative example is provided to demonstrate the effectiveness and the reduced conservatism of the proposed method.

原文English
主出版物標題Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
DOIs
出版狀態Published - 2008 二月 18
事件2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
持續時間: 2007 九月 52007 九月 7

出版系列

名字Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
國家Japan
城市Kumamoto
期間07-09-0507-09-07

指紋

Linear matrix inequalities
Differential equations
Chemical activation
Neural networks
Uncertainty

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mechanical Engineering

引用此文

Liao, C-W., & Lu, C-Y. (2008). Passivity analysis for uncertain time-varying delayed neural networks with neutral type. 於 Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 [4427715] (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). https://doi.org/10.1109/ICICIC.2007.444
Liao, Chin-Wen ; Lu, Chien-Yu. / Passivity analysis for uncertain time-varying delayed neural networks with neutral type. Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. 2008. (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007).
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Liao, C-W & Lu, C-Y 2008, Passivity analysis for uncertain time-varying delayed neural networks with neutral type. 於 Second International Conference on Innovative Computing, Information and Control, ICICIC 2007., 4427715, Second International Conference on Innovative Computing, Information and Control, ICICIC 2007, 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007, Kumamoto, Japan, 07-09-05. https://doi.org/10.1109/ICICIC.2007.444

Passivity analysis for uncertain time-varying delayed neural networks with neutral type. / Liao, Chin-Wen; Lu, Chien-Yu.

Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. 2008. 4427715 (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007).

研究成果: Conference contribution

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N2 - This paper considers the problem of robust delay-dependent Passivity analysis for time-varying delayed neural networks described by nonlinear delay differential equations of the neutral type, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Both delay-dependent and delay-independent passivity conditions are proposed by using more general Lyapunov-Krasovskii functionals. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by recently using standard algorithms. An illustrative example is provided to demonstrate the effectiveness and the reduced conservatism of the proposed method.

AB - This paper considers the problem of robust delay-dependent Passivity analysis for time-varying delayed neural networks described by nonlinear delay differential equations of the neutral type, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Both delay-dependent and delay-independent passivity conditions are proposed by using more general Lyapunov-Krasovskii functionals. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by recently using standard algorithms. An illustrative example is provided to demonstrate the effectiveness and the reduced conservatism of the proposed method.

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Liao C-W, Lu C-Y. Passivity analysis for uncertain time-varying delayed neural networks with neutral type. 於 Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. 2008. 4427715. (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). https://doi.org/10.1109/ICICIC.2007.444