Stability Analysis and State Estimation of Memristive Neural Networks

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Release : 2021-08-16
Genre : Technology & Engineering
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Book Rating : 007/5 ( reviews)

Stability Analysis and State Estimation of Memristive Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stability Analysis and State Estimation of Memristive Neural Networks write by Hongjian Liu. This book was released on 2021-08-16. Stability Analysis and State Estimation of Memristive Neural Networks available in PDF, EPUB and Kindle. 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

Stability Analysis of Neural Networks

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Release : 2021-12-05
Genre : Mathematics
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Book Rating : 346/5 ( reviews)

Stability Analysis of Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stability Analysis of Neural Networks write by Grienggrai Rajchakit. This book was released on 2021-12-05. Stability Analysis of Neural Networks available in PDF, EPUB and Kindle. This book discusses recent research on the stability of various neural networks with constrained signals. It investigates stability problems for delayed dynamical systems where the main purpose of the research is to reduce the conservativeness of the stability criteria. The book mainly focuses on the qualitative stability analysis of continuous-time as well as discrete-time neural networks with delays by presenting the theoretical development and real-life applications in these research areas. The discussed stability concept is in the sense of Lyapunov, and, naturally, the proof method is based on the Lyapunov stability theory. The present book will serve as a guide to enable the reader in pursuing the study of further topics in greater depth and is a valuable reference for young researcher and scientists.

Advances in Neural Networks – ISNN 2019

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Release : 2019-06-26
Genre : Computers
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Book Rating : 960/5 ( reviews)

Advances in Neural Networks – ISNN 2019 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Neural Networks – ISNN 2019 write by Huchuan Lu. This book was released on 2019-06-26. Advances in Neural Networks – ISNN 2019 available in PDF, EPUB and Kindle. This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

Complex-Valued Neural Networks Systems with Time Delay

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Release : 2022-11-05
Genre : Technology & Engineering
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Book Rating : 50X/5 ( reviews)

Complex-Valued Neural Networks Systems with Time Delay - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Complex-Valued Neural Networks Systems with Time Delay write by Ziye Zhang. This book was released on 2022-11-05. Complex-Valued Neural Networks Systems with Time Delay available in PDF, EPUB and Kindle. This book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay. It brings out the characteristic systematism in them and points out further insight to solve relevant problems. It presents a comprehensive, up-to-date, and detailed treatment of dynamical behaviors including stability analysis and (anti-)synchronization control. The materials included in the book are mainly based on the recent research work carried on by the authors in this domain. The book is a useful reference for all those from senior undergraduates, graduate students, to senior researchers interested in or working with control theory, applied mathematics, system analysis and integration, automation, nonlinear science, computer and other related fields, especially those relevant scientific and technical workers in the research of complex-valued neural network systems, dynamic systems, and intelligent control theory.

Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control

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Release : 2021-10-22
Genre : Technology & Engineering
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Book Rating : 030/5 ( reviews)

Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control write by Ahmed G. Radwan. This book was released on 2021-10-22. Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control available in PDF, EPUB and Kindle. Fractional-order Modelling of Dynamic Systems with Applications in Optimization, Signal Processing and Control introduces applications from a design perspective, helping readers plan and design their own applications. The book includes the different techniques employed to design fractional-order systems/devices comprehensively and straightforwardly. Furthermore, mathematics is available in the literature on how to solve fractional-order calculus for system applications. This book introduces the mathematics that has been employed explicitly for fractional-order systems. It will prove an excellent material for students and scholars who want to quickly understand the field of fractional-order systems and contribute to its different domains and applications. Fractional-order systems are believed to play an essential role in our day-to-day activities. Therefore, several researchers around the globe endeavor to work in the different domains of fractional-order systems. The efforts include developing the mathematics to solve fractional-order calculus/systems and to achieve the feasible designs for various applications of fractional-order systems. Presents a simple and comprehensive understanding of the field of fractional-order systems Offers practical knowledge on the design of fractional-order systems for different applications Exposes users to possible new applications for fractional-order systems