Qualitative Analysis And Control Of Complex Neural Networks With Delays
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Qualitative Analysis And Control Of Complex Neural Networks With Delays
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Author : Zhanshan Wang
language : en
Publisher:
Release Date : 2015
Qualitative Analysis And Control Of Complex Neural Networks With Delays written by Zhanshan Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Qualitative Analysis And Control Of Complex Neural Networks With Delays
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Author : Zhanshan Wang
language : en
Publisher: Springer
Release Date : 2015-07-18
Qualitative Analysis And Control Of Complex Neural Networks With Delays written by Zhanshan Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-18 with Technology & Engineering categories.
This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
Synchronization Control Of Markovian Complex Neural Networks With Time Varying Delays
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Author : Junyi Wang
language : en
Publisher: Springer Nature
Release Date : 2023-11-28
Synchronization Control Of Markovian Complex Neural Networks With Time Varying Delays written by Junyi Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-28 with Technology & Engineering categories.
This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also addresses the motivations of this monograph. In Chapter 2, the stochastic synchronization issue of Markovian coupled neural networks with partially unknown transition rates and random coupling strengths is investigated. In Chapter 3, the local synchronization issue of Markovian neutral complex networks with partially information of transition rates is investigated. The new delay-dependent synchronization criteria in terms of LMIs are derived, which depends on the upper and lower bounds of the delays. In Chapter 4, the local synchronization issue of Markovian nonlinear coupled neural networks with uncertain and partially unknown transition rates is investigated. The less conservative local synchronization criteria containing the bounds of delay and delay derivative are obtained based on the novel augmented Lyapunov-Krasovskii functional and a new integral inequality. In Chapter 5, the sampled-data synchronization issue of delayed complex networks with aperiodic sampling interval is investigated based on enhanced input delay approach, which makes full use of the upper bound of the variable sampling interval and the sawtooth structure information of varying input delay. In Chapter 6, the sampled-data synchronization issue of Markovian coupled neural networks with mode-dependent interval time-varying delays and aperiodic sampling intervals is investigated based on an enhanced input delay approach. Furthermore, the mode-dependent sampled-data controllers are proposed based on the delay dependent synchronization criteria. In Chapter 7, the synchronization issue of inertial neural networks with time-varying delays and generally Markovian jumping is investigated. In Chapter 8, we conclude the monograph by briefly summarizing the main theoretical findings.
Complex Valued Neural Networks Systems With Time Delay
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Author : Ziye Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-11-05
Complex Valued Neural Networks Systems With Time Delay written by Ziye Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-05 with Technology & Engineering categories.
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.
Learning Based Adaptive Control
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Author : Mouhacine Benosman
language : en
Publisher: Butterworth-Heinemann
Release Date : 2016-08-02
Learning Based Adaptive Control written by Mouhacine Benosman and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-02 with Technology & Engineering categories.
Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained. Includes a good number of Mechatronics Examples of the techniques. Compares and blends Model-free and Model-based learning algorithms. Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.
Complex Valued Neural Networks
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Author : Akira Hirose
language : en
Publisher: World Scientific
Release Date : 2003
Complex Valued Neural Networks written by Akira Hirose and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first-ever book on complex-valued neural networks, the most active scientists at the forefront of the field describe theories and applications from various points of view to provide academic and industrial researchers with a comprehensive understanding of the fundamentals, features and prospects of the powerful complex-valued networks.
Cyberphysical Systems
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Author : Kostas Siozios
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Cyberphysical Systems written by Kostas Siozios and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Technology & Engineering categories.
As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today’s levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints.CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on:• Decision making for large scale CPS• Modeling of CPS with emphasis at the control mechanisms• Hardware/software implementation of the control mechanisms• Fault-tolerant and reliability issues for the control mechanisms• Cyberphysical user-cases that incorporate challenging decision making
Qualitative Analysis And Synthesis Of Recurrent Neural Networks
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Author : Anthony Michel
language : en
Publisher: CRC Press
Release Date : 2001-12-04
Qualitative Analysis And Synthesis Of Recurrent Neural Networks written by Anthony Michel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12-04 with Mathematics categories.
"Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance."
Control And State Estimation For Dynamical Network Systems With Complex Samplings
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Author : Bo Shen
language : en
Publisher: CRC Press
Release Date : 2022-09-14
Control And State Estimation For Dynamical Network Systems With Complex Samplings written by Bo Shen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Technology & Engineering categories.
This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects from the active sampling fashion, i.e., event-based sampling is examined on the control/estimation performance, and novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. By drawing on a variety of theories and methodologies such as Lyapunov function, linear matrix inequalities, and Kalman theory, sufficient conditions are derived for guaranteeing the existence of the desired controllers and estimators, which are parameterized according to certain matrix inequalities or recursive matrix equations. Covers recent advances of control and state estimation for dynamical network systems with complex samplings from the engineering perspective Systematically introduces the complex sampling concept, methods, and application for the control and state estimation Presents unified framework for control and state estimation problems of dynamical network systems with complex samplings Exploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approach Explains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specifications This book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.
Stability Analysis Of Neural Networks
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Author : Grienggrai Rajchakit
language : en
Publisher: Springer
Release Date : 2022-12-07
Stability Analysis Of Neural Networks written by Grienggrai Rajchakit and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-07 with Mathematics categories.
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.