Robust Stabilization of Delayed Neural Networks: Dissipativity-Learning Approach

© 2012 IEEE. This paper examines the robust stabilization problem of continuous-time delayed neural networks via the dissipativity-learning approach. A new learning algorithm is established to guarantee the asymptotic stability as well as the (Q,S,R) - α -dissipativity of the considered neural netw...

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Bibliographic Details
Main Authors: Ramasamy Saravanakumar, Hyung Soo Kang, Choon Ki Ahn, Xiaojie Su, Hamid Reza Karimi
Other Authors: Chongqing University
Format: Article
Published: 2020
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/50642
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Institution: Mahidol University

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