Stability Analysis and State Estimation of Memristive Neural Networks

Author:   Hongjian Liu (Anhui Polytechnic University, Wuhu, China.) ,  Zidong Wang (Brunel Un., London, UK) ,  Lifeng Ma (Nanjing University of Science and Technology, Nanjing, China)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032038100


Pages:   214
Publication Date:   07 October 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Stability Analysis and State Estimation of Memristive Neural Networks


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Author:   Hongjian Liu (Anhui Polytechnic University, Wuhu, China.) ,  Zidong Wang (Brunel Un., London, UK) ,  Lifeng Ma (Nanjing University of Science and Technology, Nanjing, China)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.430kg
ISBN:  

9781032038100


ISBN 10:   1032038101
Pages:   214
Publication Date:   07 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Hongjian Liu is currently a Professor in the School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, China. His current research interests include filtering theory, memristive neural networks and network communication systems. He is a very active reviewer for many international journals. Zidong Wang is currently Professor of Dynamical Systems and Computing at Brunel University London in the United Kingdom. His research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. Lifeng Ma is currently a Professor with the School of Automation, Nanjing University of Science and Technology, Nanjing, China. His current research interests include nonlinear control and signal processing, variable structure control, distributed control and filtering, time-varying systems, and multi-agent systems.

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