Control Dynamic Systems Neural (79 results)
Language: English
Published by Wiley-Interscience (edition 1), 1997
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Fuzzy And Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Tsoukalas, Letferi H. (Author), Uhrig, Robert E. (Author), Zadeh, Lotfi A. (Foreword)
Language: English
Published by Wiley-Interscience, 1997
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Hardcover. Condition: Very Good. Neural Network Systems Techniques and Applications,7: Advances in Theory and Applications: Volume 7 (Control and Dynamic Systems) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and…the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Language: English
Published by Wiley-Interscience, 1997
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Condition: New. pp. 296.
Language: English
Published by Wiley-Interscience, 1997
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sens…ors, 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. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressing from theoretical foundations, through the training aspects of neural nets and concluding with four chapters of applications. The applications include problems as diverse as oven tempera ture control, and energy/load forecasting routines. We hope this interesting but balanced mix of material appeals to a wide range of readers from the theoretician to the industrial applications engineer.
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Language: English
Published by Wiley-Interscience, 1997
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Published by Advances in Industrial Control, Springer-Verlag London Limited, London, 1995
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Taschenbuch. Condition: Neu. Neural Network Engineering in Dynamic Control Systems | Kenneth J. Hunt (u. a.) | Taschenbuch | Advances in Industrial Control | xiv | Englisch | 2011 | Springer | EAN 9781447130680 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at…]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Predictive Control of Nonlinear System Based on Neural Networks | Predictive Control of Nonlinear Systems Using Feedback Linearisation Based on Dynamic Neural Networks | Jiamei Deng | Taschenbuch | 200 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844300093 | Verantwortliche Person… für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal proce…ssing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.
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Condition: New. In English.
