Special Issue on Neural Networks in Control Systems PDF Download
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Author: IEEE Control Systems Society
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
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Book Description
Author: IEEE Control Systems Society
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
Get Book Here
Book Description
Author: IEEE Control Systems Society
Publisher:
ISBN:
Category :
Languages : en
Pages : 160
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Book Description
Author: Institute of Electrical and Electronics Engineers
Publisher:
ISBN: 9780002721707
Category :
Languages : en
Pages :
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Book Description
Author: Frank L. Lewis
Publisher:
ISBN:
Category :
Languages : en
Pages : 293
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Book Description
Author: Zi-Xing Cai
Publisher: World Scientific
ISBN: 9789810225643
Category : Technology & Engineering
Languages : en
Pages : 472
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Book Description
Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
Author: Omid Omidvar
Publisher: Elsevier
ISBN: 0080537391
Category : Computers
Languages : en
Pages : 375
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Book Description
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory Represents the most up-to-date developments in this rapidly growing application area of neural networks Takes a new and novel approach to system identification and synthesis
Author: George William Irwin
Publisher: IET
ISBN: 9780852968529
Category : Computers
Languages : en
Pages : 320
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Book Description
The aim is to present an introduction to, and an overview of, the present state of neural network research and development, with an emphasis on control systems application studies. The book is useful to a range of levels of reader. The earlier chapters introduce the more popular networks and the fundamental control principles, these are followed by a series of application studies, most of which are industrially based, and the book concludes with a consideration of some recent research.
Author: J. Fernández de Cañete
Publisher:
ISBN:
Category :
Languages : en
Pages : 122
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Book Description
Author: Martin T. Hagan
Publisher:
ISBN:
Category :
Languages : en
Pages : 110
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Book Description
Author: J.G. Taylor
Publisher: Elsevier
ISBN: 0080887392
Category : Computers
Languages : en
Pages : 391
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Book Description
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing. This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.
