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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications;

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Advanced Models of Neural Networks

This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by;

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Stability Analysis and State Estimation of Memristive Neural Networks

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks;

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Recent Advances in Control Problems of Dynamical Systems and Networks

matters, this includes the following special issues: finite-time stability and stabilization, consensussynchronization, fault-tolerant control;

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Cellular Neural Networks, Multi-scroll Chaos And Synchronization

design principles. This perspective is the basis of the three cornerstones of this book: cellular neural networks, chaos and synchronization;

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Analysis and Control of Coupled Neural Networks with Reaction Diffusion Terms

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Synchronization in Networks of Nonlinear Circuits

synchronization in complex networks, including the major measures, the stability properties and control techniques. The book then moves on to advanced;

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Stochastic Control and Filtering over Constrained Communication Networks

Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies;

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Fractional Order Control and Synchronization of Chaotic Systems

The book reports on the latest advances in and applications of fractional order control and synchronization of chaotic systems, explaining;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations;

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Stochastic Models of Neural Networks

This book is intended to provide a treatment of the theory and applications of Stochastic Neural Networks,that is networks able to learn;

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Neural Network Control of Nonlinear Discrete-Time Systems

neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control;

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Fuzzy Neural Networks for Real Time Control Applications

of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been;

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Advances in Neural Networks- ISNN 2013

, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics;

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Advances in Neural Networks- ISNN 2013

, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics;

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PID Control with Intelligent Compensation for Exoskeleton Robots

-edge methods for designing neural and fuzzy compensators with high-gain velocity observers for PD control using Lyapunov stability;

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Networks Of Interacting Machines

equations, control theory, pattern formation, graph theory, discrete event simulations, stochastic processes, and others. The application areas;

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Dynamics and Stochastic Processes

The contributions to this volume review the mathematical description of complex phenomena from both a deterministic and stochastic point;

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Stability of Infinite Dimensional Stochastic Differential Equations with Applications

applications such as stochastic control, population biology, and turbulence, where the analysis and control of such systems involves investigating;

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Stability of Infinite Dimensional Stochastic Differential Equations with Applications

applications such as stochastic control, population biology, and turbulence, where the analysis and control of such systems involves investigating;

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Stability Analysis of Neural Networks

This book discusses recent research on the stability of various neural networks with constrained signals. It investigates stability;

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Impulsive Synchronization of Complex Dynamical Networks

distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various;

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