Delay-dependent robust stability criteria for delay neural networks with linear fractional uncertainties |
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Authors: | Tao Li Lei Guo Lingyao Wu Changyin Sun |
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Affiliation: | (1) Department of Information Communication, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 21004, China;(2) School of Instrument Science and Opto-Electronics Engineering, Beihang University, Bejing, 100083, China;(3) Research Institute of Automation, Southeast University, Nanjing, 210096, China |
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Abstract: | This article investigates the problem of robust stability for neural networks with time-varying delays and parameter uncertainties
of linear fractional form. By introducing a new Lyapunov-Krasovskii functional and a tighter inequality, delay-dependent stability
criteria are established in term of linear matrix inequalities (LMIs). It is shown that the obtained criteria can provide
less conservative results than some existing ones. Numerical examples are given to demonstrate the applicability of the proposed
approach.
Recommended by Editorial Board member Naira Hovakimyan under the direction of Editor Young-Hoon Joo. This work was supported
by the National Science foundation of China under Grant no. 60774013 and Key Laboratory of Education Ministry for Image Processing
and Intelligent Control under grant no. 200805.
Tao Li received the Ph.D. degree in The Research Institute of Automation Southeast University, China. Now He is an Assistant Professor
in Department of Information and Communication, Nanjing University of Information Science and Technology. His current research
interests include time-delay systems, neural networks, robust control, fault detection and diagnosis.
Lei Guo received the Ph.D. degree in the Research Institute of Automation Southeast University, China. From 1999 to 2004, he has
worked at Hong Kong University, IRCCyN (France), Glasgow University, Loughborough University and UMIST, UK. Now He is a Professor
in School of Instrument Science and Opto-Electronics Engineering, Beihang University. His current research interests include
robust control, fault detection and diagnosis.
Lingyao Wu received the Ph.D. degree in The Research Institute of Automation Southeast University, China. Now He is an Assistant Professor
in the Research Institute of Automation Southeast University. His current research interests include time-delay systems, neural
networks, robust control, fault detection and diagnosis.
Changyin Sun received the Ph.D. degree in the Research Institute of Automation Southeast University, China. Now He is a Professor in the
Research Institute of Automation Southeast University. His current research interests include timedelay systems, neural networks. |
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Keywords: | Delay-dependent linear matrix inequality neural networks robust stability |
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