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
This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamic...
The problem of complexity is particularly relevant to the field of control engineering, since many e...
A review of W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos (Eds.) Neural Networks for ...
A complex network is a complex set composed of several elementary units which have certain character...
Abstract: In this paper we explain about the Networked control systems (NCS).NCS are distributed com...
The control of linear dynamical systems is a strategy that the brain uses to control its own intrins...
Complexity and dynamical analysis in neural systems play an important role in the application of opt...
The problem of exponential synchronization for neural networks is investigated via feedback control ...
oai:ojs.ijair.id:article/260The modern stage of development of science and technology is characteriz...
This edited monograph includes state-of-the-art contributions on continuous time dynamical networks ...
A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give ...
Dynamical networks composed of dynamical units are ubiquitous in many different contexts such as bio...
Synchrony is a phenomenon that pervades all fields of science. The Kuramoto model is a prominent mod...
This book is the second enlarged and revised edition of the first successful monograph on complex-va...
Nowadays one of the most concerned topics in the field of complex networks is to find how the synchr...
This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamic...
The problem of complexity is particularly relevant to the field of control engineering, since many e...
A review of W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos (Eds.) Neural Networks for ...
A complex network is a complex set composed of several elementary units which have certain character...
Abstract: In this paper we explain about the Networked control systems (NCS).NCS are distributed com...
The control of linear dynamical systems is a strategy that the brain uses to control its own intrins...
Complexity and dynamical analysis in neural systems play an important role in the application of opt...
The problem of exponential synchronization for neural networks is investigated via feedback control ...
oai:ojs.ijair.id:article/260The modern stage of development of science and technology is characteriz...
This edited monograph includes state-of-the-art contributions on continuous time dynamical networks ...
A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give ...
Dynamical networks composed of dynamical units are ubiquitous in many different contexts such as bio...
Synchrony is a phenomenon that pervades all fields of science. The Kuramoto model is a prominent mod...
This book is the second enlarged and revised edition of the first successful monograph on complex-va...
Nowadays one of the most concerned topics in the field of complex networks is to find how the synchr...
This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamic...
The problem of complexity is particularly relevant to the field of control engineering, since many e...
A review of W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos (Eds.) Neural Networks for ...