Finite-time synchronization of stochastic memristor-based delayed neural networks
作者： Yanchao Shi , Peiyong Zhu
DOI: 10.1007/S00521-016-2546-7
关键词: Stochastic process 、 Memristor 、 Computer science 、 Artificial neural network 、 Chaotic 、 Control theory 、 Control theory 、 Differential inclusion 、 Synchronization (computer science) 、 Stochastic neural network
摘要: The finite-time synchronization problem of stochastic memristor-based delayed neural network is studied. Certain sufficient conditions are got to assure the chaotic networks by using differential inclusions theory, stability theorem, Lyapunov functional, inequality techniques, analysis theory and designing a suitable controller. Comparison with previous results, model this paper general, given novel. Therefore, obtained results generalize improve some existing achievements about network. Moreover, numerical simulation example demonstrates usefulness theoretical results.
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