Exponential stability for nonautonomous neural networks with variable delays |
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| Authors: | Qiang Zhang Xiaopeng Wei Jin Xu |
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| Institution: | 1. School of Mathematics and Statistics, Hanshan Normal University, Chaozhou 521041, China;2. Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China;3. Key Laboratory of Automobile Measurement and Control & Safty, Xihua University, Chengdu 610039, China;4. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China;1. Department of Mathematics, Alagappa University, Karaikudi 630004, India;2. Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi 630004, India;3. MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, Hunan, China;4. Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai, Thailand;1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, PR China;2. School of Science, Huzhou Teachers College, Huzhou 313000, PR China;3. School of Electrical Engineering and Automation, Qufu Normal University, Rizhao 276826, PR China |
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| Abstract: | In this paper, by utilizing a delay differential inequality and combining with inequality analysis technique, we investigate global exponential stability for nonautonomous neural networks with variable delays. Some new sufficient conditions ensuring global exponential stability are obtained. An example is also given to demonstrate the effectiveness of the obtained results. |
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