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Sinopsis
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ..., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.
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Reseña del editor
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.
Reseña del editor
The primary purpose of this book is to present a set of techniques which allow the design of controllers able to guarantee stability, convergence and robustness for dynamical systems with unknown nonlinearities and of manufacturing systems.To compensate for the significant amount of uncertainty in system structure, a neural network model developed recently, namely the Recurrent High Order Neural Network (RHONN), is employed.Real applications are provided with illustrations and tables for clarification; the book contains material on:- RHONN structure and approximation capabilities- indirect adaptive control- direct adaptive control- scheduling for manufacturing systems- test case for scheduling using RHONNs.The book is primarily intended for industrial and institutional practitioners but should be of significant interest to undergraduate and graduate students and academic scientists working with neural networks and their applications in engineering.
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Adaptive Control with Recurrent High-order Neural Networks.
Publicado por
Springer Verlag, 2000
ISBN 10: 1852336234
ISBN 13: 9781852336233
Antiguo o usado
Tapa dura
Librería: CSG Onlinebuch GMBH, Darmstadt, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: Gut. Gebraucht - Gut Zustand: Gut, Mängelexemplar, XII, 194 pp. 30 figs. About this book: The primary purpose of this book is to present a set of techniques which allow the design of controllers able to guarantee stability, convergence and robustness for dynamical systems with unknown nonlinearities and of manufacturing systems. To compensate for the significant amount of uncertainty in system structure, a neural network model developed recently, namely the Recurrent High Order Neural Network (RHONN), is employed. Real applications are provided with illustrations and tables for clarification; the book contains material on: - RHONN structure and approximation capabilities - indirect adaptive control - direct adaptive control - scheduling for manufacturing systems - test case for scheduling using RHONNs. The book is primarily intended for industrial and institutional practitioners but should be of significant interest to undergraduate and graduate students and academic scientists working with neural networks and their applications in engineering. Written for industrial practitioners and scientists, undergraduate and graduate students, libraries. Nº de ref. del artículo: 16397
Cantidad disponible: 2 disponibles
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Adaptive Control with Recurrent High-Order Neural Networks : Theory and Industrial Applications
Publicado por
Springer London, Limited, 1999
ISBN 10: 1852336234
ISBN 13: 9781852336233
Antiguo o usado
Tapa dura
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Nº de ref. del artículo: 18297205-75
Cantidad disponible: 1 disponibles
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Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications (Advances in Industrial Control)
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Hardcover. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA75818523362345
Cantidad disponible: 1 disponibles