Two algebraic criteria for input-to-state stability of recurrent neural networks with time-varying delays |
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| Authors: | Song Zhu Yi Shen |
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| Affiliation: | 1. College of Sciences, China University of Mining and Technology, Xuzhou, 221116, China
2. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
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| Abstract: | This paper presents two algebraic criteria for the input-to-state stability of recurrent neural networks with time-varying delays. The criteria which also ensure global exponential stability when the input u(t) is equal to 0 and is easy to be verified only with the connection weights of the recurrent neural networks. Two numerical examples are given to demonstrate the effectiveness of the proposed criteria. |
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