Fuzzy modeling and control of uncertain nonlinear systems / (Record no. 43146)
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| fixed length control field | 08983nam a2200589 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 8826425 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152135.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191003s2019 mau ob 001 eng d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| Canceled/invalid national bibliography number | GBB9C5386 (print) |
| 016 ## - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Canceled/invalid control number | 019470506 (print) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119491514 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119491525 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119491552 |
| Qualifying information | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119491521 |
| Qualifying information | ePub ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119491545 |
| Qualifying information | PDF ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1119491541 |
| Qualifying information | PDF ebook |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119491514 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat08826425 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b0000648a1b4542 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.836 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Yu, Wen, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Fuzzy modeling and control of uncertain nonlinear systems / |
| Statement of responsibility, etc. | Wen Yu, Raheleh Jafari. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken : |
| Name of producer, publisher, distributor, manufacturer | Wiley-IEEE Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2019. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2019] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (208 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press series on systems science and engineering |
| 500 ## - GENERAL NOTE | |
| General note | List of Figures xi List of Tables xiii Preface xv 1 Fuzzy Equations 1 1.1 Introduction 1 1.2 Fuzzy Equations 1 1.3 Algebraic Fuzzy Equations 3 1.4 Numerical Methods for Solving Fuzzy Equations 5 1.4.1 Newton Method 5 1.4.2 Steepest Descent Method 7 1.4.3 Adomian Decomposition Method 8 1.4.4 Ranking Method 9 1.4.5 Intelligent Methods 10 1.4.5.1 Genetic Algorithm Method 10 1.4.5.2 Neural Network Method 11 1.4.5.3 Fuzzy Linear Regression Model 14 1.5 Summary 20 2 Fuzzy Differential Equations 21 2.1 Introduction 21 2.2 Predictor-Corrector Method 21 2.3 Adomian Decomposition Method 23 2.4 Euler Method 23 2.5 Taylor Method 25 2.6 Runge-Kutta Method 25 2.7 Finite Difference Method 26 2.8 Differential Transform Method 28 2.9 Neural Network Method 29 2.10 Summary 36 3 Modeling and Control Using Fuzzy Equations 39 3.1 Fuzzy Modeling with Fuzzy Equations 39 3.1.1 Fuzzy Parameter Estimation with Neural Networks 45 3.1.2 Upper Bounds of the Modeling Errors 48 3.2 Control with Fuzzy Equations 52 3.3 Simulations 59 3.4 Summary 67 4 Modeling and Control Using Fuzzy Differential Equations 69 4.1 Introduction 69 4.2 Fuzzy Modeling with Fuzzy Differential Equations 69 4.3 Existence of a Solution 72 4.4 Solution Approximation using Bernstein Neural Networks 79 4.5 Solutions Approximation using the Fuzzy Sumudu Transform 83 4.6 Simulations 85 4.7 Summary 99 5 System Modeling with Partial Differential Equations 101 5.1 Introduction 101 5.2 Solutions using Burgers-Fisher Equations 101 5.3 Solution using Wave Equations 106 5.4 Simulations 109 5.5 Summary 117 6 System Control using Z-numbers 119 6.1 Introduction 119 6.2 Modeling using Dual Fuzzy Equations and Z-numbers 119 6.3 Controllability using Dual Fuzzy Equations 124 6.4 Fuzzy Controller 128 6.5 Nonlinear System Modeling 131 6.6 Controllability using Fuzzy Differential Equations 131 6.7 Fuzzy Controller Design using Fuzzy Differential Equations and Z-number 135 6.8 Approximation using a Fuzzy Sumudu Transform and Z-numbers 138 6.9 Simulations 139 6.10 Summary 151 References 153 Index 167 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | List of Figures xi -- List of Tables xiii -- Preface xv -- 1 Fuzzy Equations 1 -- 1.1 Introduction 1 -- 1.2 Fuzzy Equations 1 -- 1.3 Algebraic Fuzzy Equations 3 -- 1.4 Numerical Methods for Solving Fuzzy Equations 5 -- 1.4.1 Newton Method 5 -- 1.4.2 Steepest Descent Method 7 -- 1.4.3 Adomian Decomposition Method 8 -- 1.4.4 Ranking Method 9 -- 1.4.5 Intelligent Methods 10 -- 1.4.5.1 Genetic Algorithm Method 10 -- 1.4.5.2 Neural Network Method 11 -- 1.4.5.3 Fuzzy Linear Regression Model 14 -- 1.5 Summary 20 -- 2 Fuzzy Differential Equations 21 -- 2.1 Introduction 21 -- 2.2 Predictor-Corrector Method 21 -- 2.3 Adomian Decomposition Method 23 -- 2.4 Euler Method 23 -- 2.5 Taylor Method 25 -- 2.6 Runge-Kutta Method 25 -- 2.7 Finite Difference Method 26 -- 2.8 Differential Transform Method 28 -- 2.9 Neural Network Method 29 -- 2.10 Summary 36 -- 3 Modeling and Control Using Fuzzy Equations 39 -- 3.1 Fuzzy Modeling with Fuzzy Equations 39 -- 3.1.1 Fuzzy Parameter Estimation with Neural Networks 45 -- 3.1.2 Upper Bounds of the Modeling Errors 48 -- 3.2 Control with Fuzzy Equations 52 -- 3.3 Simulations 59 -- 3.4 Summary 67 -- 4 Modeling and Control Using Fuzzy Differential Equations 69 -- 4.1 Introduction 69 -- 4.2 Fuzzy Modeling with Fuzzy Differential Equations 69 -- 4.3 Existence of a Solution 72 -- 4.4 Solution Approximation using Bernstein Neural Networks 79 -- 4.5 Solutions Approximation using the Fuzzy Sumudu Transform 83 -- 4.6 Simulations 85 -- 4.7 Summary 99 -- 5 System Modeling with Partial Differential Equations 101 -- 5.1 Introduction 101 -- 5.2 Solutions using Burgers-Fisher Equations 101 -- 5.3 Solution using Wave Equations 106 -- 5.4 Simulations 109 -- 5.5 Summary 117 -- 6 System Control using Z-numbers 119 -- 6.1 Introduction 119 -- 6.2 Modeling using Dual Fuzzy Equations and Z-numbers 119 -- 6.3 Controllability using Dual Fuzzy Equations 124 -- 6.4 Fuzzy Controller 128 -- 6.5 Nonlinear System Modeling 131 -- 6.6 Controllability using Fuzzy Differential Equations 131. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 6.7 Fuzzy Controller Design using Fuzzy Differential Equations and Z-number 135 -- 6.8 Approximation using a Fuzzy Sumudu Transform and Z-numbers 138 -- 6.9 Simulations 139 -- 6.10 Summary 151 -- References 153 -- Index 167. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book: . Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equations. Includes an overview of uncertain nonlinear systems for non-specialists. Teaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development. Reinforces comprehension with illustrations, tables, examples, and simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | CIP data; resource not viewed. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Nonlinear systems |
| General subdivision | Automatic control |
| -- | Mathematics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Fuzzy mathematics. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jafari, Raheleh, |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
| Relator term | distributor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Wiley, |
| Relator term | publisher. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781119491552 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IEEE Press series on systems science and engineering |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8826425 |
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