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. ±êÌâ: The Robust Stability Analysis of Neural Network System with Multiple Time Delays and Uncertainties ×÷Õß: Wang, DK »áÒéÐÅÏ¢: 7th Conference on Biological Dynamic System and Stability of Differential Equation, ÈÕÆÚ: MAY 14-16, 2010 Chongqing PEOPLES R CHINA À´Ô´³ö°æÎï: PROCEEDINGS OF THE 7TH CONFERENCE ON BIOLOGICAL DYNAMIC SYSTEM AND STABILITY OF DIFFERENTIAL EQUATION, VOLS I AND II Ò³: 705-708 ³ö°æÄê: 2010 ±»ÒýƵ´Î: 0 |

2Â¥2010-10-02 16:48:30
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The Robust Stability Analysis of Neural Network System with Multiple Time Delays and Uncertainties ¸ü¶àÑ¡Ïî ×÷Õß: Wang DK (Wang, Diankun) ±àÕß: Jiang Y; Song QK; Chen LS; Tan YS À´Ô´³ö°æÎï: PROCEEDINGS OF THE 7TH CONFERENCE ON BIOLOGICAL DYNAMIC SYSTEM AND STABILITY OF DIFFERENTIAL EQUATION, VOLS I AND II Ò³: 705-708 ³ö°æÄê: 2010 ±»ÒýƵ´Î: 0 ²Î¿¼ÎÄÏ×: 5 ÒýÖ¤¹ØÏµÍ¼ »áÒéÐÅÏ¢: 7th Conference on Biological Dynamic System and Stability of Differential Equation Chongqing, PEOPLES R CHINA, MAY 14-16, 2010 ÕªÒª: This note considers the problem of robust stability for a class of neural network system with multiple time-delays. By using the theory of Lyapunov stability and the linear matrix inequality (LMI) technique, the sufficient delay-dependent stability criteria are derived for uncertainty neural network system with multiple time-delays. The proposed results are less conservative than the criteria without any time delays. ÎÄÏ×ÀàÐÍ: Proceedings Paper ÓïÑÔ: English ×÷Õ߹ؼü´Ê: neural network system; linear matrix inequality (LMI); lyapunov-krasovskii function ͨѶ×÷ÕßµØÖ·: Wang, DK (ͨѶ×÷Õß), Qingdao Agr Univ, Dept Sci & Informat, Qingdao 266109, Peoples R China µØÖ·: 1. Qingdao Agr Univ, Dept Sci & Informat, Qingdao 266109, Peoples R China µç×ÓÓʼþµØÖ·: nianwo@163.com ³ö°æÉÌ: WORLD ACAD UNION-WORLD ACAD PRESS, 113, ACADEMIC HOUSE, MILL LANE, WAVERTREE TECHNOLOGY PARK, LIVERPOOL, L13 4 AH, ENGLAND IDS ºÅ: BPZ09 ISBN: 978-1-84626-029-2 |

3Â¥2010-10-02 16:49:24
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