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Stability Analysis and State Estimation of Memristive Neural Networks

By: (Author) Hongjian Liu , (Author) Lifeng Ma , (Author) Zidong Wang

Manufacture on Demand

Ksh 8,300.00

Format: Paperback / Softback

ISBN-10: 1032038101

ISBN-13: 9781032038100

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 7th, 2024

Print length: 214 Pages

Weight: 344 grams

Product Classification: Electrical engineering
Power generation & distribution
Electronics engineering

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This book discusses the stability analysis and estimator design problems for discrete-time memristive neural networks subject to time-delays and approaches state estimation from different perspectives. Each chapter includes analysis problems and application of theories and techniques to pertinent research areas.

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks. In each chapter, the analysis problems are firstly considered, where the stability, synchronization and other performances (e.g., robustness, disturbances attenuation level) are investigated within a unified theoretical framework. In this stage, some novel notions are put forward to reflect the engineering practice. Then, the estimator design issues are discussed where sufficient conditions are derived to ensure the existence of the desired estimators with guaranteed performances. Finally, the theories and techniques developed in previous parts are applied to deal with some issues in several emerging research areas.

The book

  • Unifies existing and emerging concepts concerning delayed discrete memristive neural networks with an emphasis on a variety of network-induced phenomena

  • Captures recent advances of theories, techniques, and applications of delayed discrete memristive neural networks from a network-oriented perspective

  • Provides a series of latest results in two popular yet interrelated areas, stability analysis and state estimation of neural networks

  • Exploits a unified framework for analysis and synthesis by designing new tools and techniques in combination with conventional theories of systems science, control engineering and signal processing

  • Gives simulation examples in each chapter to reflect the engineering practice

Get Stability Analysis and State Estimation of Memristive Neural Networks by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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