Neuro-control and its applications:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
London ; Berlin ; Heidelberg ; New York ; Barcelona ; Budapest ;
Springer
1996
|
| Schriftenreihe: | Advances in industrial control
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XIII, 255 S. Ill., graph. Darst. |
| ISBN: | 3540199659 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | SIGERU OMATU, MARZUKI KHALID AND RUBIYAH YUSOF
NEURO-CONTROL AND
ITS APPLICATIONS
WITH 88 FIGURES
SPRINGER
CONTENTS
1 INTRODUCTION
1.1 INTRODUCTION TO INTELLIGENT CONTROL 1
1.2 REFERENCES 6
2 NEURAL NETWORKS
2.1 HISTORICAL REVIEW OF NEURAL NETWORKS 7
2.2 BACKPROPAGATION ALGORITHM 14
2.2.1 NOTATION 15
2.2.2 DERIVATION OF THE BACKPROPAGATION ALGORITHM 16
2.2.3 ALGORITHM: BACKPROPAGATION METHOD 22
2.2.4 SOME DISCUSSIONS ON THE
BACKPROPAGATION ALGORITHM 22
2.3 CONCLUSIONS 25
2.4 REFERENCES 26
3 TRADITIONAL CONTROL SCHEMES
3.1 INTRODUCTION 29
3.2 DISCRETE-TIME PI AND PID CONTROLLERS 34
3.3 SELF-TUNING CONTROL 36
3.4 SELF-TUNING PI AND PID CONTROLLERS 43
3.4.1 CLOSED LOOP SYSTEM 46
3.4.2 SOME INTERPRETATIONS BASED ON A SIMULATION EXAMPLE.. 46
3.5 SELF-TUNING PID CONTROL - A MULTIVARIABLE APPROACH 51
3.5.1 SIMULATION EXAMPLE 58
3.6 GENERALIZED PREDICTIVE CONTROL - SOME THEORETICAL ASPECTS 61
3.6.1 COST CRITERION 61
3.6.2 THE PLANT MODEL AND OPTIMIZATION SOLUTION 62
3.7 FUZZY LOGIC CONTROL 66
3.7.1 BRIEF OVERVIEW OF FUZZY SET AND FUZZY
SYSTEM THEORY 68
3.7.2 BASIC CONCEPT OF FUZZY LOGIC CONTROLLER 71
3.8 CONCLUSIONS 76
3.9 REFERENCES 77
XUE NEURO-CONTROL AND ITS APPLICATIONS
4 NEURO-CONTROL TECHNIQUES
4.1 INTRODUCTION 85
4.2 OVERVIEW OF NEURO-CONTROL 87
4.2.1 NEURO-CONTROL APPROACHES 90
4.2.2 GENERAL CONTROL CONFIGURATION 96
4.3 SERIES NEURO-CONTROL SCHEME 97
4.4 EXTENSIONS OF SERIES NEURO-CONTROL SCHEME 109
4.4.1 SOME DISCUSSIONS ON ON-LINE LEARNING 109
4.4.2 NEUROMORPHIC CONTROL STRUCTURES 111
4.4.3 TRAINING CONFIGURATIONS 114
4.4.4 EFFICIENT ON-LINE TRAINING 116
4.4.5 TRAINING ALGORITHMS 124
4.4.6 EVALUATION OF THE TRAINING
ALGORITHMS THROUGH SIMULATIONS 128
4.5 PARALLEL CONTROL SCHEME 134
4.5.1 LEARNING ALGORITHM FOR PARALLEL CONTROL SCHEME 135
4.6 FEEDBACK ERROR LEARNING ALGORITHM 140
4.7 EXTENSION OF THE PARALLEL TYPE NEURO-CONTROLLER 143
4.7.1 DESCRIPTION OF CONTROL SYSTEM 143
4.7.2 LINEARIZED CONTROL SYSTEM 144
4.7.3 CONTROL SYSTEMS WITH NEURAL NETWORKS 145
4.7.4 NONLINEAR OBSERVER BY NEURAL NETWORK 146
4.7.5 NONLINEAR CONTROLLER BY NEURAL NETWORK 147
4.7.6 NUMERICAL SIMULATIONS 149
4.8 SELF-TUNING NEURO-CONTROL SCHEME 151
4.9 SELF-TUNING PID NEURO-CONTROLLER 152
4.9.1 DERIVATION OF THE SELF-TUNING PID
TYPE NEURO-CONTROLLER 153
4.9.2 SIMULATION EXAMPLES 158
4.10 EMULATOR AND CONTROLLER NEURO-CONTROL SCHEME 161
4.10.1 OFF-LINE TRAINING OF THE
NEURO-CONTROLLER AND EMULATOR 161
4.10.2 ON-LINE LEARNING 162
4.11 CONCLUSIONS 165
4.12 REFERENCES 165
5 NEURO-CONTROL APPLICATIONS
5.1 INTRODUCTION 171
5.2 APPLICATION OF NEURO-CONTROL TO A WATER-BATH PROCESS
AND COMPARISON WITH ALTERNATIVE CONTROL SCHEMES 172
5.2.1 INTRODUCTION 172
5.2.2 DESCRIPTION OF THE WATER BATH
TEMPERATURE CONTROL SYSTEM 175
5.2.3 NEURO-CONTROL SCHEME 176
5.2.4 FUZZY LOGIC CONTROL SCHEME 181
5.2.5 GENERALIZED PREDICTIVE CONTROL SCHEME 186
5.2.6 EXPERIMENTAL RESULTS AND DISCUSSIONS 187
5.2.7 CONCLUSIONS 193
CONTENTS
XLLL
5.3 STABILIZING AN INVERTED PENDULUM BY NEURAL NETWORKS 196
5.3.1 INTRODUCTION 196
5.3.2 DESCRIPTION OF THE INVERTED PENDULUM SYSTEM 197
5.3.3 INITIAL START-UP CONTROL USING FUZZY LOGIC 199
5.3.4 USING OPTIMAL CONTROL STRATEGY FOR THE
STABILIZATION OF THE INVERTED PENDULUM 203
5.3.5 FINE IMPROVEMENT BY USING NEURAL NETWORKS 206
5.3.6 CONCLUSIONS 208
5.4 SPEED CONTROL OF AN ELECTRIC VEHICLE BY
SELF-TUNING PID NEURO-CONTROLLER 208
5.4.1 INTRODUCTION 208
5.4.2 THE ELECTRIC VEHICLE CONTROL SYSTEM 209
5.4.3 SELF-TUNING PID TYPE NEURO-CONTROLLER 211
5.4.4 APPLICATION TO SPEED CONTROL
OF ELECTRIC VEHICLE 214
5.4.5 CONCLUSIONS 217
5.5 MIMO FURNACE CONTROL WITH NEURAL NETWORKS 218
5.5.1 INTRODUCTION 218
5.5.2 DESCRIPTION OF FURNACE CONTROL SYSTEM 221
5.5.3 THE NEURO-CONTROL SCHEME 223
5.5.4 EXPERIMENTS AND DISCUSSIONS 227
5.5.5 CONCLUSIONS 237
5.6 CONCLUDING REMARKS 239
5.7 REFERENCES 240
PROGRAM LIST 245
INDEX 253
|
| any_adam_object | 1 |
| author | Ōmatu, Shigeru 1946- Khalid, Marzuki Yusof, Rubiyah |
| author_GND | (DE-588)115611371 |
| author_facet | Ōmatu, Shigeru 1946- Khalid, Marzuki Yusof, Rubiyah |
| author_role | aut aut aut |
| author_sort | Ōmatu, Shigeru 1946- |
| author_variant | s ō sō m k mk r y ry |
| building | Verbundindex |
| bvnumber | BV010555255 |
| callnumber-first | T - Technology |
| callnumber-label | TJ217 |
| callnumber-raw | TJ217.5.O53 1996 |
| callnumber-search | TJ217.5.O53 1996 |
| callnumber-sort | TJ 3217.5 O53 41996 |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| classification_rvk | ST 300 ZQ 5220 |
| classification_tum | MSR 688f |
| ctrlnum | (OCoLC)32625483 (DE-599)BVBBV010555255 |
| dewey-full | 670.42 670.4220 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.42 670.42 20 |
| dewey-search | 670.42 670.42 20 |
| dewey-sort | 3670.42 |
| dewey-tens | 670 - Manufacturing |
| discipline | Informatik Werkstoffwissenschaften / Fertigungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
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| id | DE-604.BV010555255 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:54:59Z |
| institution | BVB |
| isbn | 3540199659 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007036591 |
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| physical | XIII, 255 S. Ill., graph. Darst. |
| publishDate | 1996 |
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| series2 | Advances in industrial control |
| spelling | Ōmatu, Shigeru 1946- Verfasser (DE-588)115611371 aut Neuro-control and its applications Sigeru Omatu, Marzuki Khalid and Rubiyah Yusof London ; Berlin ; Heidelberg ; New York ; Barcelona ; Budapest ; Springer 1996 XIII, 255 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in industrial control Literaturangaben Intelligent control systems Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Regelungssystem (DE-588)4134712-2 gnd rswk-swf Fuzzy-Regelung (DE-588)4395755-9 gnd rswk-swf Nichtlineare Regelung (DE-588)4132964-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Regelungssystem (DE-588)4134712-2 s Neuronales Netz (DE-588)4226127-2 s DE-604 Fuzzy-Regelung (DE-588)4395755-9 s Nichtlineare Regelung (DE-588)4132964-8 s 1\p DE-604 Khalid, Marzuki Verfasser aut Yusof, Rubiyah Verfasser aut DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007036591&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ōmatu, Shigeru 1946- Khalid, Marzuki Yusof, Rubiyah Neuro-control and its applications Intelligent control systems Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Regelungssystem (DE-588)4134712-2 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd Nichtlineare Regelung (DE-588)4132964-8 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4134712-2 (DE-588)4395755-9 (DE-588)4132964-8 (DE-588)4143413-4 |
| title | Neuro-control and its applications |
| title_auth | Neuro-control and its applications |
| title_exact_search | Neuro-control and its applications |
| title_full | Neuro-control and its applications Sigeru Omatu, Marzuki Khalid and Rubiyah Yusof |
| title_fullStr | Neuro-control and its applications Sigeru Omatu, Marzuki Khalid and Rubiyah Yusof |
| title_full_unstemmed | Neuro-control and its applications Sigeru Omatu, Marzuki Khalid and Rubiyah Yusof |
| title_short | Neuro-control and its applications |
| title_sort | neuro control and its applications |
| topic | Intelligent control systems Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Regelungssystem (DE-588)4134712-2 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd Nichtlineare Regelung (DE-588)4132964-8 gnd |
| topic_facet | Intelligent control systems Neural networks (Computer science) Neuronales Netz Regelungssystem Fuzzy-Regelung Nichtlineare Regelung Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007036591&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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