Neural Fuzzy Control Systems With Structure And Parameter Learning

Author : Chin-Teng Lin
Publisher : World Scientific Publishing Company
Page : 144 pages
File Size : 47,5 Mb
Release : 1994-02-08
Category : Electronic
ISBN : 9789813104709

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Neural Fuzzy Control Systems with Structure and Parameter Learning by Chin-Teng Lin Pdf

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure which has distributed learning abilities. In order to set up this proposed FNN, the author recommends two complementary structure/parameter learning algorithms: a two-phase hybrid learning algorithm and an on-line supervised structure/parameter learning algorithm. Both of these learning algorithms require exact supervised training data for learning. In some real-time applications, exact training data may be expensive or even impossible to get. To solve this reinforcement learning problem for real-world applications, a Reinforcement Fuzzy Neural Network (RFNN) is further proposed. Computer simulation examples are presented to illustrate the performance and applicability of the proposed FNN, RFNN and their associated learning algorithms for various applications.

Author : Ching Tai Lin
Publisher : Unknown
Page : 127 pages
File Size : 42,8 Mb
Release : 1994
Category : Electronic
ISBN : 9814354244

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Neural Fuzzy Control Systems with Structure & Parameter Learning by Ching Tai Lin Pdf

Author : Ching Tai Lin,C. S. George Lee
Publisher : Prentice Hall
Page : 824 pages
File Size : 54,8 Mb
Release : 1996
Category : Computers
ISBN : STANFORD:36105018323233

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Neural Fuzzy Systems by Ching Tai Lin,C. S. George Lee Pdf

Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.

Author : David A. White,Donald A. Sofge
Publisher : Van Nostrand Reinhold Company
Page : 600 pages
File Size : 55,5 Mb
Release : 1992
Category : Technology & Engineering
ISBN : STANFORD:36105001724256

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Handbook of Intelligent Control by David A. White,Donald A. Sofge Pdf

This handbook shows the reader how to develop neural networks and apply them to various engineering control problems. Based on a workshop on aerospace applications, this tutorial covers integration of neural networks with existing control architectures as well as new neurocontrol architectures in nonlinear control.

Author : Jelena Godjevac
Publisher : EPFL Press
Page : 172 pages
File Size : 41,9 Mb
Release : 1997-01-01
Category : Fuzzy logic
ISBN : 2880743559

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Neuro-fuzzy Controllers by Jelena Godjevac Pdf

Author : Abraham Kandel,Gideon Langholz
Publisher : CRC Press
Page : 664 pages
File Size : 54,6 Mb
Release : 1993-09-27
Category : Computers
ISBN : 0849344964

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Fuzzy Control Systems by Abraham Kandel,Gideon Langholz Pdf

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part considers current applications of fuzzy control systems. This book should be required reading for researchers, practitioners, and students interested in fuzzy control systems, artificial intelligence, and fuzzy sets and systems.

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 53,8 Mb
Release : 2006-04-18
Category : Computers
ISBN : 9781402080432

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Flexible Neuro-Fuzzy Systems by Leszek Rutkowski Pdf

Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.

Author : Li-Xin Wang
Publisher : Prentice Hall
Page : 262 pages
File Size : 44,8 Mb
Release : 1994
Category : Computers
ISBN : STANFORD:36105003435844

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Adaptive Fuzzy Systems and Control by Li-Xin Wang Pdf

This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 9789814495158

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Fuzzy Logic Control by Anonim Pdf

Author : Detlef Nauck,Frank Klawonn,Rudolf Kruse
Publisher : Unknown
Page : 328 pages
File Size : 51,7 Mb
Release : 1997-09-19
Category : Computers
ISBN : UOM:39015040559745

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Foundations of Neuro-Fuzzy Systems by Detlef Nauck,Frank Klawonn,Rudolf Kruse Pdf

Foundations of Neuro-Fuzzy Systems reflects the current trend in intelligent systems research towards the integration of neural networks and fuzzy technology. The authors demonstrate how a combination of both techniques enhances the performance of control, decision-making and data analysis systems. Smarter and more applicable structures result from marrying the learning capability of the neural network with the transparency and interpretability of the rule-based fuzzy system. Foundations of Neuro-Fuzzy Systems highlights the advantages of integration making it a valuable resource for graduate students and researchers in control engineering, computer science and applied mathematics. The authors' informed analysis of practical neuro-fuzzy applications will be an asset to industrial practitioners using fuzzy technology and neural networks for control systems, data analysis and optimization tasks.

Author : Ching Tai Lin,C. S. George Lee
Publisher : Unknown
Page : 797 pages
File Size : 48,5 Mb
Release : 1996
Category : Fuzzy systems
ISBN : 9867910540

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Neural Fuzzy Systems by Ching Tai Lin,C. S. George Lee Pdf

Author : Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou
Publisher : Springer Science & Business
Page : 316 pages
File Size : 48,8 Mb
Release : 2014-04-23
Category : Technology & Engineering
ISBN : 9783319063645

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System Identification and Adaptive Control by Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou Pdf

Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.

Author : Danuta Rutkowska
Publisher : Physica
Page : 292 pages
File Size : 54,5 Mb
Release : 2012-11-13
Category : Computers
ISBN : 9783790818024

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Neuro-Fuzzy Architectures and Hybrid Learning by Danuta Rutkowska Pdf

The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ ence of the human mind as a role model is clearly visible in the methodolo gies which have emerged, mainly during the past two decades, for the con ception, design and utilization of intelligent systems. At the center of these methodologies are fuzzy logic (FL); neurocomputing (NC); evolutionary computing (EC); probabilistic computing (PC); chaotic computing (CC); and machine learning (ML). Collectively, these methodologies constitute what is called soft computing (SC). In this perspective, soft computing is basically a coalition of methodologies which collectively provide a body of concepts and techniques for automation of reasoning and decision-making in an environment of imprecision, uncertainty and partial truth.

Author : Hung T. Nguyen,Michio Sugeno
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461555056

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Fuzzy Systems by Hung T. Nguyen,Michio Sugeno Pdf

The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.

Author : C J Harris
Publisher : CRC Press
Page : 384 pages
File Size : 45,5 Mb
Release : 1994-03-11
Category : Technology & Engineering
ISBN : 0748400664

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Advances In Intelligent Control by C J Harris Pdf

"Advances in intelligent Control" is a collection of essays covering the latest research in the field. Based on a special issue of "The International Journal of Control", the book is arranged in two parts. Part one contains recent contributions of artificial neural networks to modelling and control. Part two concerns itself primarily with aspects of fuzzy logic in intelligent control, guidance and estimation, although some of the contributions either make direct equivalence relationships to neural networks or use hybrid methods where a neural network is used to develop the fuzzy rule base.