Fuzzy Algorithms for Control:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1999
|
| Schriftenreihe: | International Series in Intelligent Technologies
14 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice |
| Beschreibung: | 1 Online-Ressource (XIII, 352 p) |
| ISBN: | 9789401144056 9789401058933 |
| ISSN: | 1382-3434 |
| DOI: | 10.1007/978-94-011-4405-6 |
Internformat
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| 500 | |a Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice | ||
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| 700 | 1 | |a Babuška, R. |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author_facet | Verbruggen, H. B. |
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| author_sort | Verbruggen, H. B. |
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| dewey-full | 511.3 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511.3 |
| dewey-search | 511.3 |
| dewey-sort | 3511.3 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-94-011-4405-6 |
| format | Electronic eBook |
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| id | DE-604.BV042423941 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:14Z |
| institution | BVB |
| isbn | 9789401144056 9789401058933 |
| issn | 1382-3434 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859358 |
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| physical | 1 Online-Ressource (XIII, 352 p) |
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| series2 | International Series in Intelligent Technologies |
| spelling | Verbruggen, H. B. Verfasser aut Fuzzy Algorithms for Control edited by H. B. Verbruggen, H.-J. Zimmermann, R. Babuška Dordrecht Springer Netherlands 1999 1 Online-Ressource (XIII, 352 p) txt rdacontent c rdamedia cr rdacarrier International Series in Intelligent Technologies 14 1382-3434 Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice Mathematics Logic, Symbolic and mathematical Mathematical optimization Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Mathematik Zimmermann, H.-J. Sonstige oth Babuška, R. Sonstige oth https://doi.org/10.1007/978-94-011-4405-6 Verlag Volltext |
| spellingShingle | Verbruggen, H. B. Fuzzy Algorithms for Control Mathematics Logic, Symbolic and mathematical Mathematical optimization Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Mathematik |
| title | Fuzzy Algorithms for Control |
| title_auth | Fuzzy Algorithms for Control |
| title_exact_search | Fuzzy Algorithms for Control |
| title_full | Fuzzy Algorithms for Control edited by H. B. Verbruggen, H.-J. Zimmermann, R. Babuška |
| title_fullStr | Fuzzy Algorithms for Control edited by H. B. Verbruggen, H.-J. Zimmermann, R. Babuška |
| title_full_unstemmed | Fuzzy Algorithms for Control edited by H. B. Verbruggen, H.-J. Zimmermann, R. Babuška |
| title_short | Fuzzy Algorithms for Control |
| title_sort | fuzzy algorithms for control |
| topic | Mathematics Logic, Symbolic and mathematical Mathematical optimization Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Mathematik |
| topic_facet | Mathematics Logic, Symbolic and mathematical Mathematical optimization Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Mathematik |
| url | https://doi.org/10.1007/978-94-011-4405-6 |
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