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Fuzzy Modeling for Control., Babuska R.


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Автор: Babuska R.
Название:  Fuzzy Modeling for Control.
ISBN: 9789401060400
Издательство: Springer
Классификация:




ISBN-10: 9401060401
Обложка/Формат: Paperback
Страницы: 280
Вес: 0.43 кг.
Дата издания: 1998
Серия: International series in intelligent technologies
Язык: English
Издание: Softcover reprint of
Иллюстрации: Biography
Размер: 234 x 156 x 15
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models.


Coevolutionary Fuzzy Modeling

Автор: Carlos Andr?s Pe?a-Reyes
Название: Coevolutionary Fuzzy Modeling
ISBN: 3540229949 ISBN-13(EAN): 9783540229940
Издательство: Springer
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Цена: 8384.00 р.
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Discrete-Time Markov Control Processes

Автор: Hernandez-Lerma
Название: Discrete-Time Markov Control Processes
ISBN: 0387945792 ISBN-13(EAN): 9780387945798
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.

Modeling and Control of Logical Discrete Event Systems

Автор: Ratnesh Kumar; Vijay K. Garg
Название: Modeling and Control of Logical Discrete Event Systems
ISBN: 0792395387 ISBN-13(EAN): 9780792395386
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Discrete event systems is a field that utilizes many interesting mathematical models and techniques. This book focuses on a high level treatment of discrete event systems, where the order of events, rather their occurrence times, is the principal concern.

Modeling, Control and Optimization of Complex Systems

Автор: Weibo Gong; Leyuan Shi
Название: Modeling, Control and Optimization of Complex Systems
ISBN: 1461354110 ISBN-13(EAN): 9781461354116
Издательство: Springer
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Цена: 13974.00 р.
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Fuzzy Modeling with Spatial Information for Geographic Problems

Автор: Frederick E. Petry; Vincent B. Robinson; Maria A.
Название: Fuzzy Modeling with Spatial Information for Geographic Problems
ISBN: 3642062644 ISBN-13(EAN): 9783642062643
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Reasoning About Regions, Relations, and Fields.- Fuzzy Reasoning about Geographic Regions.- Combined Extraction of Directional and Topological Relationship Information from 2D Concave Objects.- Field Based Methods for the Modeling of Fuzzy Spatial Data.- Modeling Localities with Fuzzy Sets and GIS.- Fuzzy Classification.- Mining Weather Data Using Fuzzy Cluster Analysis.- Modelling the Fuzzy Spatial Extent of Geographical Entities.- Multi-Dimensional Interpolations with Fuzzy Sets.- Talking Space - A Social & Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics.- A Valuation of the Reliability of a GIS Based on the Fuzzy Logic in a Concrete Case Study.- Fuzzy Representations of Landscape Features.- Fuzziness and Ambiguity in Multi-Scale Analysis of Landscape Morphometry.- Fuzzy Representation of Special Terrain Features Using a Similarity-based Approach.- Decision Making with GIS and Fuzzy Sets.- Spatial Decision-Making Using Fuzzy Decision Tables: Theory, Application and Limitations.- Spatial Decision Making Using Fuzzy GIS.- Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents.

Interpretability Issues in Fuzzy Modeling

Автор: Jorge Casillas; O. Cord?n; Francisco Herrera Trigu
Название: Interpretability Issues in Fuzzy Modeling
ISBN: 3642057020 ISBN-13(EAN): 9783642057021
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy.

Fuzzy Database Modeling

Автор: Adnan Yazici; Roy George
Название: Fuzzy Database Modeling
ISBN: 3662118092 ISBN-13(EAN): 9783662118092
Издательство: Springer
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Цена: 13974.00 р.
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Distributed Fuzzy Control of Multivariable Systems

Автор: Alexander Gegov
Название: Distributed Fuzzy Control of Multivariable Systems
ISBN: 0792338510 ISBN-13(EAN): 9780792338512
Издательство: Springer
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Цена: 21655.00 р.
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Описание: This research monograph presents the fundamentals of fuzzy control theory and recent results in extending fuzzy control theory for multivariable and large-scale systems. The theoretical results are illustrated by numerical examples and two case studies.

Fuzzy Logic and Fuzzy Control

Автор: Dimiter Driankov; Peter W. Eklund; Anca L. Ralescu
Название: Fuzzy Logic and Fuzzy Control
ISBN: 3540582797 ISBN-13(EAN): 9783540582793
Издательство: Springer
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Цена: 6567.00 р.
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Описание: Contains a selection of research papers presented at the Workshop on Fuzzy Logic and Fuzzy Control, held in Sydney, Australia in August 1991. The work is divided into sections on fuzzy reasoning, fuzzy neural networks, fuzzy control applications, fuzzy logic planning and fuzzy circuits.

Fuzzy Neural Networks for Real Time Control Applications

Автор: Erdal Kayacan
Название: Fuzzy Neural Networks for Real Time Control Applications
ISBN: 0128026871 ISBN-13(EAN): 9780128026878
Издательство: Elsevier Science
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Цена: 12294.00 р.
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Описание:

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS

Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book

Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book.

A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis.

You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are:

- Gradient descent

- Levenberg-Marquardt

- Extended Kalman filter

In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced.

The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully.

Modeling and Control of Logical Discrete Event Systems

Автор: Ratnesh Kumar; Vijay K. Garg
Название: Modeling and Control of Logical Discrete Event Systems
ISBN: 1461359317 ISBN-13(EAN): 9781461359319
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The field of discrete event systems has emerged to provide a formal treatment of many of the man-made systems such as manufacturing systems, communica- tion networks.

Fuzzy Control of Industrial Systems

Автор: Ian S. Shaw
Название: Fuzzy Control of Industrial Systems
ISBN: 1441950559 ISBN-13(EAN): 9781441950550
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system.


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