An introduction to fuzzy control:
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of indust...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | German |
Veröffentlicht: |
Berlin [u.a.]
Springer
1996
|
Ausgabe: | 2., rev. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Zusammenfassung: | Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available Thus the book is mainly oriented toward control engineers and theorists, although parts can be read without any knowledge of control theory and may be of interest to Al people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material |
Beschreibung: | Literaturverz. S. 293 - 305 |
Beschreibung: | XV, 316 S. graph. Darst. |
ISBN: | 3540606912 |
Internformat
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245 | 1 | 0 | |a An introduction to fuzzy control |c Dimiter Driankov ; Hans Hellendoorn ; Michael Reinfrank. With cooperation from Rainer Palm ... Foreword by Lennart Ljung |
250 | |a 2., rev. ed. | ||
264 | 1 | |a Berlin [u.a.] |b Springer |c 1996 | |
300 | |a XV, 316 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Literaturverz. S. 293 - 305 | ||
520 | 3 | |a Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products | |
520 | |a Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available | ||
520 | |a Thus the book is mainly oriented toward control engineers and theorists, although parts can be read without any knowledge of control theory and may be of interest to Al people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material | ||
650 | 4 | |a Commande intelligente | |
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650 | 4 | |a Systèmes flous | |
650 | 4 | |a Intelligent control systems | |
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Datensatz im Suchindex
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adam_text | Table of Contents
1 Introduction 1
1.1 Fuzzy Control from an Industrial Perspective 2
1.1.1 A Lot of Fuzz About Fuzzy Control 2
1.1.2 Fuzzy Control: Real time Expert Systems or Nonlinear
Control Systems? 2
1.1.3 The Benefits of Fuzzy Control 3
1.1.4 The Limits of Fuzzy Control 6
1.1.5 On When to Use Fuzzy Control 8
1.1.6 The Market Place 9
1.1.7 What Needs to Be Done? 11
1.2 Knowledge Based Systems for Process Control 13
1.2.1 Process Monitoring 13
1.2.2 Fault Diagnosis 14
1.2.3 Planning and Scheduling 15
1.2.4 Supervisory Control 16
1.3 Knowledge Based Controllers 17
1.4 Knowledge Representation in KBCs 21
1.4.1 Knowledge Representation in SECSs 22
1.4.2 Knowledge Representation in FKBCs 28
2 The Mathematics of Fuzzy Control 37
2.1 Introduction: Fuzzy Sets 37
2.1.1 Vagueness 37
2.1.2 Fuzzy Set Theory Versus Probability Theory 38
2.1.3 Classical Set Theory 40
2.1.4 Fuzzy Sets 44
2.1.5 Properties of Fuzzy Sets 52
2.1.6 Operations on Fuzzy Sets 55
2.2 Fuzzy Relations 61
2.2.1 Classical Relations 61
2.2.2 Fuzzy Relations 63
2.2.3 Operations on Fuzzy Relations 65
2.2.4 The Extension Principle 73
2.3 Approximate Reasoning 74
XIV Table of Contents
2.3.1 Introduction 74
2.3.2 Linguistic Variables 75
2.3.3 Fuzzy Propositions 76
2.3.4 Fuzzy If then Statements 80
2.3.5 Inference Rules 82
2.3.6 The Compositional Rule of Inference 83
2.3.7 Representing the Meaning of If then Rules 85
2.4 Representing a Set of Rules 93
2.4.1 Mamdani Versus Godel 93
2.4.2 Properties of a Set of Rules 97
2.4.3 Completeness of a Set of Rules 98
2.4.4 Consistency of a Set of Rules 100
2.4.5 Continuity of a Set of Rules 101
2.4.6 Interaction of a Set of Rules 101
3 FKBC Design Parameters 103
3.1 Introduction: The Structure of a FKBC 103
3.1.1 Fuzzification Module 103
3.1.2 Knowledge Base 104
3.1.3 Inference Engine 105
3.1.4 Defuzzification Module 106
3.2 Rule Base 107
3.2.1 Choice of Variables and Content of Rules 107
3.2.2 Choice of a Term Set Ill
3.2.3 Derivation of Rules 114
3.3 Data Base 115
3.3.1 Choice of Membership Functions 115
3.3.2 Choice of Scaling Factors 126
3.4 Inference Engine 128
3.5 Choice of Fuzzification Procedure 131
3.6 Choice of Defuzzification Procedure 132
3.6.1 Center of Area/Gravity 134
3.6.2 Center of Sums 135
3.6.3 Height 136
3.6.4 Center of Largest Area 137
3.6.5 First of Maxima 137
3.6.6 Middle of Maxima 138
3.6.7 Description of Two Examples 138
3.6.8 Comparison and Evaluation of Defuzzification Methods . 141
4 Nonlinear Fuzzy Control 145
4.1 Introduction 145
4.2 The Control Problem 147
4.3 The FKBC as a Nonlinear Transfer Element 149
4.3.1 FKBC Computational Structure 149
Table of Contents XV
4.3.2 The Nonlinearity of the Controller 155
4.3.3 Rule Based Representation of Conventional TE 159
4.4 Types of FKBC 163
4.4.1 PID likeFKBC 164
4.4.2 Sliding Mode FKBC 171
4.4.3 Sugeno FKBC 186
5 Adaptive Fuzzy Control 197
5.1 Introduction 197
5.2 Design and Performance Evaluation 198
5.2.1 The Performance Monitor 198
5.2.2 The Adaptation Mechanism 203
5.2.3 Performance Evaluation 207
5.3 The Main Approaches to Design 207
5.3.1 Membership Function Tuning using Gradient Descent . . 207
5.3.2 Membership Function Tuning Using Performance Criteria 214
5.3.3 The Self Organizing Controller 219
5.3.4 A Model Based Controller 231
6 Stability of Fuzzy Control Systems 245
6.1 Introduction 245
6.2 The State Space Approach 248
6.3 Stability and Robustness Indices 259
6.3.1 The One dimensional Case 259
6.3.2 The n dimensional Case 262
6.4 Input Output Stability 273
6.4.1 The Spaces of Signals 274
6.4.2 The Input Output Notion of a System 274
6.4.3 The Input Output Notion of Stability 274
6.5 The Circle Criterion 275
6.5.1 Stability Analysis SISO Case 276
6.5.2 Stability Analysis MIMO Case 276
6.5.3 Application of the Circle Criterion to Design 281
6.6 The Conicity Criterion 283
References 293
Index 307
|
any_adam_object | 1 |
author | Driankov, Dimiter Hellendoorn, Hans Reinfrank, Michael |
author_facet | Driankov, Dimiter Hellendoorn, Hans Reinfrank, Michael |
author_role | aut aut aut |
author_sort | Driankov, Dimiter |
author_variant | d d dd h h hh m r mr |
building | Verbundindex |
bvnumber | BV010620355 |
callnumber-first | T - Technology |
callnumber-label | TJ217 |
callnumber-raw | TJ217.5.D75 1996 |
callnumber-search | TJ217.5.D75 1996 |
callnumber-sort | TJ 3217.5 D75 41996 |
callnumber-subject | TJ - Mechanical Engineering and Machinery |
classification_rvk | SK 880 ST 300 ST 301 ST 308 ZQ 5240 |
classification_tum | MAT 496f DAT 773f MSR 688f |
ctrlnum | (OCoLC)34191017 (DE-599)BVBBV010620355 |
dewey-full | 629.8 629.820 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 629 - Other branches of engineering |
dewey-raw | 629.8 629.8 20 |
dewey-search | 629.8 629.8 20 |
dewey-sort | 3629.8 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Informatik Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
edition | 2., rev. ed. |
format | Book |
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id | DE-604.BV010620355 |
illustrated | Illustrated |
indexdate | 2024-07-09T17:56:06Z |
institution | BVB |
isbn | 3540606912 |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007085246 |
oclc_num | 34191017 |
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owner | DE-91 DE-BY-TUM DE-92 DE-473 DE-BY-UBG DE-1050 DE-384 DE-706 DE-521 DE-523 DE-526 DE-83 DE-11 |
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physical | XV, 316 S. graph. Darst. |
publishDate | 1996 |
publishDateSearch | 1996 |
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publisher | Springer |
record_format | marc |
spelling | Driankov, Dimiter Verfasser aut An introduction to fuzzy control Dimiter Driankov ; Hans Hellendoorn ; Michael Reinfrank. With cooperation from Rainer Palm ... Foreword by Lennart Ljung 2., rev. ed. Berlin [u.a.] Springer 1996 XV, 316 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 293 - 305 Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available Thus the book is mainly oriented toward control engineers and theorists, although parts can be read without any knowledge of control theory and may be of interest to Al people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material Commande intelligente Sistemas de controle larpcal Systèmes flous Intelligent control systems Fuzzy systems Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Regelungstheorie (DE-588)4122327-5 gnd rswk-swf Fuzzy-Regelung (DE-588)4395755-9 gnd rswk-swf Regelung (DE-588)4048971-1 gnd rswk-swf Regelungstheorie (DE-588)4122327-5 s Fuzzy-Regelung (DE-588)4395755-9 s 1\p DE-604 Fuzzy-Menge (DE-588)4061868-7 s Regelung (DE-588)4048971-1 s 2\p DE-604 Hellendoorn, Hans Verfasser aut Reinfrank, Michael Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007085246&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Driankov, Dimiter Hellendoorn, Hans Reinfrank, Michael An introduction to fuzzy control Commande intelligente Sistemas de controle larpcal Systèmes flous Intelligent control systems Fuzzy systems Fuzzy-Menge (DE-588)4061868-7 gnd Regelungstheorie (DE-588)4122327-5 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd Regelung (DE-588)4048971-1 gnd |
subject_GND | (DE-588)4061868-7 (DE-588)4122327-5 (DE-588)4395755-9 (DE-588)4048971-1 |
title | An introduction to fuzzy control |
title_auth | An introduction to fuzzy control |
title_exact_search | An introduction to fuzzy control |
title_full | An introduction to fuzzy control Dimiter Driankov ; Hans Hellendoorn ; Michael Reinfrank. With cooperation from Rainer Palm ... Foreword by Lennart Ljung |
title_fullStr | An introduction to fuzzy control Dimiter Driankov ; Hans Hellendoorn ; Michael Reinfrank. With cooperation from Rainer Palm ... Foreword by Lennart Ljung |
title_full_unstemmed | An introduction to fuzzy control Dimiter Driankov ; Hans Hellendoorn ; Michael Reinfrank. With cooperation from Rainer Palm ... Foreword by Lennart Ljung |
title_short | An introduction to fuzzy control |
title_sort | an introduction to fuzzy control |
topic | Commande intelligente Sistemas de controle larpcal Systèmes flous Intelligent control systems Fuzzy systems Fuzzy-Menge (DE-588)4061868-7 gnd Regelungstheorie (DE-588)4122327-5 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd Regelung (DE-588)4048971-1 gnd |
topic_facet | Commande intelligente Sistemas de controle Systèmes flous Intelligent control systems Fuzzy systems Fuzzy-Menge Regelungstheorie Fuzzy-Regelung Regelung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007085246&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT driankovdimiter anintroductiontofuzzycontrol AT hellendoornhans anintroductiontofuzzycontrol AT reinfrankmichael anintroductiontofuzzycontrol |