Nonlinear control based on local linear neuro-fuzzy models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Düsseldorf
VDI-Verl.
2006
|
| Ausgabe: | Als Ms. gedr. |
| Schriftenreihe: | Fortschritt-Berichte VDI
Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 1096 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 240 S. Ill., graph. Darst. 21 cm |
| ISBN: | 3185096088 |
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| 490 | 0 | |a Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt | |
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| adam_text | NONLINEAR CONTROL BASED ON LOCAL LINEAR NEURO-FUZZY MODELS DEM
FACHBEREICH 18 ELEKTROTECHNIK UND INFORMATIONSTECHNIK DER TECHNISCHEN
UNIVERSITAT DARMSTADT ZUR ERLANGUNG DER WILRDE EINES DOKTOR-INGENIEURS
(DR.-ING.) VORGELEGTE DISSERTATION DIPL.-ING. ALEXANDER FINK, M.S.
(SUNY) GEBOREN AM 19. MAI 1971 IN FRANKFURT AM MAIN REFERENT:
KORREFERENT: PROF. DR.-ING. DR. HX. ROLF ISERMANN PROF. DR. RER. NAT.
OSKAR VON STRYK TAG DER EINREICHUNG: 19. APRIL 2005 TAG DER MIINDLICHEN
PRIIFUNG: 14. JUNI 2005 D17 DARMSTADTER DISSERTATIONEN ULB DARMSTADT
16361976 CONTENTS VORWORT IIL SYMBOLS AND ABBREVIATIONS VIII 1.
INTRODUCTION 1 1.1 NONLINEAR MODEL-BASED PROCESS CONTROL 1 1.2 THESIS
OUTLINE AND NEW CONTRIBUTIONS 4 2. MODELING OF NONLINEAR PROCESSES WITH
LOCAL LINEAR NEURO-FUZZY MODELS 6 2.1 NONLINEAR DYNAMIC NEURO-FUZZY
MODELS 6 2.1.1 BRIEFOVERVIEW 6 2.1.2 NONLINEAR DYNAMIC MODELS 9 2.2
DYNAMIC LOCAL LINEAR MODELS 13 2.2.1 MODELS WITH OUTPUT FEEDBACK 16
2.2.2 MODELS WITHOUT OUTPUT FEEDBACK 31 2.2.3 MODELING OF MULTIPLE
INPUT-MULTIPLE OUTPUT (MIMO) SYSTEMS 44 2.2.4 SUMMARY 47 2.3
IDENTIFICATION OF LOCAL LINEAR MODELS 49 2.3.1 PARAMETER ESTIMATION 49
2.3.2 STRUCTURE IDENTIFICATION 54 2.3.3 INTEGRATION OF PRIOR PROCESS
KNOWLEDGE 56 2.3.4 EXCITATION SIGNALS 59 2.4 LOLIMOT-LOCAL LINEAR MODEL
TREE 62 2.5 ADVANCED ASPECTS OF LOCAL LINEAR OBF MODELS 65 2.5.1
IMPLEMENTATION OFOBF MODELS IN THE LOCAL MODEL FRAMEWORK 65 2.5.2 GLOBAL
AND INDIVIDUAL OBF MODELS 66 2.5.3 DYNAMIC EFFECT OF THE SCHEDULING
VARIABLES 67 2.6 SUMMARY 70 VI CONTENTS 3. NEURO-FUZZY MODEL-BASED
CONTROL 73 3.1 NONLINEAR MODEL-BASED CONTROL 73 3.1.1 BRIEFOVERVIEW 73
3.1.2 LINEAR CONTROL DESIGN BASED ON LOCAL LINEAR MODELS 75 3.2 INTERNAL
MODEL CONTROL (IMC) 84 3.2.1 CLASSIC FEEDBACK CONTROL 85 3.2.2 INTERNAL
MODEL CONTROL SCHEME 87 3.2.3 INVERSION OF THE PROCESS MODEL 95 3.3
LOLICODE - LOCAL LINEAR CONTROL DESIGN 106 3.4 SUMMARY 107 4. PRACTICAL
IMPLEMENTATION ISSUES IN CONTROL APPLICATIONS 109 4.1 LOOK-UP TABLES 109
4.1.1 LOOK-UP TABLE MODELS 110 4.1.2 IDENTIFICATION OF LOOK-UP TABLE
MODELS 115 4.1.3 USAGE OF LOOK-UP TABLES IN MODEL-BASED CONTROL 127
4.1.4 SUMMARY 129 4.2 ADAPTIVE CONTROL SYSTEMS 129 4.2.1 RECURSIVE
ON-LINE ADAPTATION OF LOCAL MODELS 130 4.2.2 SUPERVISION OF THE ON-LINE
ADAPTATION 133 4.2.3 NONLINEAR ADAPTIVE MODEL-BASED CONTROL 141 4.2.4
SUMMARY 142 5. APPLICATIONS 144 5.1 CRUISE CONTROL 144 5.1.1 MODELING OF
THE NONLINEAR VEHICLE DYNAMICS 144 5.1.2 NONLINEAR VELOCITY CONTROL OF
THE VEHICLE 148 5.1.3 NONLINEAR ADAPTIVE CONTROL OF THE VEHICLE VELOCITY
152 5.2 NONLINEAR CONTROL OF A HEAT EXCHANGER 155 5.2.1 PROCESS
DESCRIPTION OF THE CROSS-FLOW HEAT EXCHANGER 155 5.2.2 NEURO-FUZZY
MODELING OF THE COOLING PROCESS 157 5.2.3 MODEL-BASED CONTROL OF THE
HEAT EXCHANGER 164 5.2.4 NONLINEAR ADAPTIVE CONTROL OF THE HEAT
EXCHANGER 166 5.3 SUMMARY 169 6. CONCLUSIONS 171 CONTENTS A. LINEAR
MODELS 174 A.1 THE ARX MODEL 174 A.2 THE OE MODEL 176 A.3 THE FIR MODEL
177 A.4 THE OBF MODEL 178 B. LAGUERRE FILTERS 180 B.I CONTINUOUS
LAGUERRE FILTERS 180 B.2 DISCRETE LAGUERRE FILTERS 182 B.3
IDENTIFICATION EXAMPLE 186 B.3.1 APPROXIMATION WITH OBF MODELS 187 B.3.2
COMPARISON OF DIFFERENT MODEL TYPES 189 C. KAUTZ FILTERS 194 C.I FROM
LAGUERRE TO KAUTZ FILTERS 194 C.2 DISCRETE KAUTZ FILTERS 194 D. LOCAL
AND GLOBAL PARAMETER ESTIMATION 197 E. TIKHONOV REGULARIZATION FOR
LOOK-UP TABLES 202 F. SIMULATION PROCESS: CRUISE CONTROL 207 G. THERMAL
PILOT PLANT 213 H. SOFTWARE PACKAGES 216 H.1 LOLIMOT-LOCAL LINEAR MODEL
TREE 216 H.2 LOLICODE - LOCAL LINEAR CONTROL DESIGN 216 H.3 LUTOP -
LOOK-UP TABLE OPTIMIZATION 218 BIBLIOGRAPHY 240
|
| adam_txt |
NONLINEAR CONTROL BASED ON LOCAL LINEAR NEURO-FUZZY MODELS DEM
FACHBEREICH 18 ELEKTROTECHNIK UND INFORMATIONSTECHNIK DER TECHNISCHEN
UNIVERSITAT DARMSTADT ZUR ERLANGUNG DER WILRDE EINES DOKTOR-INGENIEURS
(DR.-ING.) VORGELEGTE DISSERTATION DIPL.-ING. ALEXANDER FINK, M.S.
(SUNY) GEBOREN AM 19. MAI 1971 IN FRANKFURT AM MAIN REFERENT:
KORREFERENT: PROF. DR.-ING. DR. HX. ROLF ISERMANN PROF. DR. RER. NAT.
OSKAR VON STRYK TAG DER EINREICHUNG: 19. APRIL 2005 TAG DER MIINDLICHEN
PRIIFUNG: 14. JUNI 2005 D17 DARMSTADTER DISSERTATIONEN ULB DARMSTADT
16361976 CONTENTS VORWORT IIL SYMBOLS AND ABBREVIATIONS VIII 1.
INTRODUCTION 1 1.1 NONLINEAR MODEL-BASED PROCESS CONTROL 1 1.2 THESIS
OUTLINE AND NEW CONTRIBUTIONS 4 2. MODELING OF NONLINEAR PROCESSES WITH
LOCAL LINEAR NEURO-FUZZY MODELS 6 2.1 NONLINEAR DYNAMIC NEURO-FUZZY
MODELS 6 2.1.1 BRIEFOVERVIEW 6 2.1.2 NONLINEAR DYNAMIC MODELS 9 2.2
DYNAMIC LOCAL LINEAR MODELS 13 2.2.1 MODELS WITH OUTPUT FEEDBACK 16
2.2.2 MODELS WITHOUT OUTPUT FEEDBACK 31 2.2.3 MODELING OF MULTIPLE
INPUT-MULTIPLE OUTPUT (MIMO) SYSTEMS 44 2.2.4 SUMMARY 47 2.3
IDENTIFICATION OF LOCAL LINEAR MODELS 49 2.3.1 PARAMETER ESTIMATION 49
2.3.2 STRUCTURE IDENTIFICATION 54 2.3.3 INTEGRATION OF PRIOR PROCESS
KNOWLEDGE 56 2.3.4 EXCITATION SIGNALS 59 2.4 LOLIMOT-LOCAL LINEAR MODEL
TREE 62 2.5 ADVANCED ASPECTS OF LOCAL LINEAR OBF MODELS 65 2.5.1
IMPLEMENTATION OFOBF MODELS IN THE LOCAL MODEL FRAMEWORK 65 2.5.2 GLOBAL
AND INDIVIDUAL OBF MODELS 66 2.5.3 DYNAMIC EFFECT OF THE SCHEDULING
VARIABLES 67 2.6 SUMMARY 70 VI CONTENTS 3. NEURO-FUZZY MODEL-BASED
CONTROL 73 3.1 NONLINEAR MODEL-BASED CONTROL 73 3.1.1 BRIEFOVERVIEW 73
3.1.2 LINEAR CONTROL DESIGN BASED ON LOCAL LINEAR MODELS 75 3.2 INTERNAL
MODEL CONTROL (IMC) 84 3.2.1 CLASSIC FEEDBACK CONTROL 85 3.2.2 INTERNAL
MODEL CONTROL SCHEME 87 3.2.3 INVERSION OF THE PROCESS MODEL 95 3.3
LOLICODE - LOCAL LINEAR CONTROL DESIGN 106 3.4 SUMMARY 107 4. PRACTICAL
IMPLEMENTATION ISSUES IN CONTROL APPLICATIONS 109 4.1 LOOK-UP TABLES 109
4.1.1 LOOK-UP TABLE MODELS 110 4.1.2 IDENTIFICATION OF LOOK-UP TABLE
MODELS 115 4.1.3 USAGE OF LOOK-UP TABLES IN MODEL-BASED CONTROL 127
4.1.4 SUMMARY 129 4.2 ADAPTIVE CONTROL SYSTEMS 129 4.2.1 RECURSIVE
ON-LINE ADAPTATION OF LOCAL MODELS 130 4.2.2 SUPERVISION OF THE ON-LINE
ADAPTATION 133 4.2.3 NONLINEAR ADAPTIVE MODEL-BASED CONTROL 141 4.2.4
SUMMARY 142 5. APPLICATIONS 144 5.1 CRUISE CONTROL 144 5.1.1 MODELING OF
THE NONLINEAR VEHICLE DYNAMICS 144 5.1.2 NONLINEAR VELOCITY CONTROL OF
THE VEHICLE 148 5.1.3 NONLINEAR ADAPTIVE CONTROL OF THE VEHICLE VELOCITY
152 5.2 NONLINEAR CONTROL OF A HEAT EXCHANGER 155 5.2.1 PROCESS
DESCRIPTION OF THE CROSS-FLOW HEAT EXCHANGER 155 5.2.2 NEURO-FUZZY
MODELING OF THE COOLING PROCESS 157 5.2.3 MODEL-BASED CONTROL OF THE
HEAT EXCHANGER 164 5.2.4 NONLINEAR ADAPTIVE CONTROL OF THE HEAT
EXCHANGER 166 5.3 SUMMARY 169 6. CONCLUSIONS 171 CONTENTS A. LINEAR
MODELS 174 A.1 THE ARX MODEL 174 A.2 THE OE MODEL 176 A.3 THE FIR MODEL
177 A.4 THE OBF MODEL 178 B. LAGUERRE FILTERS 180 B.I CONTINUOUS
LAGUERRE FILTERS 180 B.2 DISCRETE LAGUERRE FILTERS 182 B.3
IDENTIFICATION EXAMPLE 186 B.3.1 APPROXIMATION WITH OBF MODELS 187 B.3.2
COMPARISON OF DIFFERENT MODEL TYPES 189 C. KAUTZ FILTERS 194 C.I FROM
LAGUERRE TO KAUTZ FILTERS 194 C.2 DISCRETE KAUTZ FILTERS 194 D. LOCAL
AND GLOBAL PARAMETER ESTIMATION 197 E. TIKHONOV REGULARIZATION FOR
LOOK-UP TABLES 202 F. SIMULATION PROCESS: CRUISE CONTROL 207 G. THERMAL
PILOT PLANT 213 H. SOFTWARE PACKAGES 216 H.1 LOLIMOT-LOCAL LINEAR MODEL
TREE 216 H.2 LOLICODE - LOCAL LINEAR CONTROL DESIGN 216 H.3 LUTOP -
LOOK-UP TABLE OPTIMIZATION 218 BIBLIOGRAPHY 240 |
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| id | DE-604.BV023121073 |
| illustrated | Illustrated |
| index_date | 2024-07-02T19:51:32Z |
| indexdate | 2024-07-09T21:11:31Z |
| institution | BVB |
| isbn | 3185096088 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016323545 |
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| owner_facet | DE-210 DE-634 DE-83 |
| physical | XI, 240 S. Ill., graph. Darst. 21 cm |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | VDI-Verl. |
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| series | Fortschritt-Berichte VDI |
| series2 | Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt |
| spelling | Fink, Alexander Verfasser aut Nonlinear control based on local linear neuro-fuzzy models Alexander Fink Als Ms. gedr. Düsseldorf VDI-Verl. 2006 XI, 240 S. Ill., graph. Darst. 21 cm txt rdacontent n rdamedia nc rdacarrier Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik 1096 Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt Zugl.: Darmstadt, Techn. Univ., Diss., 2005 Nichtlineare Regelung (DE-588)4132964-8 gnd rswk-swf Prozessmodell (DE-588)4237203-3 gnd rswk-swf Adaptivregelung (DE-588)4000457-0 gnd rswk-swf Reglerentwurf (DE-588)4177447-4 gnd rswk-swf Neuro-Fuzzy-System (DE-588)4560677-8 gnd rswk-swf Prozessregelung (DE-588)4222919-4 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Prozessregelung (DE-588)4222919-4 s Prozessmodell (DE-588)4237203-3 s Reglerentwurf (DE-588)4177447-4 s Nichtlineare Regelung (DE-588)4132964-8 s Neuro-Fuzzy-System (DE-588)4560677-8 s Adaptivregelung (DE-588)4000457-0 s DE-604 Fortschritt-Berichte VDI Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 1096 (DE-604)BV000882482 1096 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016323545&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Fink, Alexander Nonlinear control based on local linear neuro-fuzzy models Fortschritt-Berichte VDI Nichtlineare Regelung (DE-588)4132964-8 gnd Prozessmodell (DE-588)4237203-3 gnd Adaptivregelung (DE-588)4000457-0 gnd Reglerentwurf (DE-588)4177447-4 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd Prozessregelung (DE-588)4222919-4 gnd |
| subject_GND | (DE-588)4132964-8 (DE-588)4237203-3 (DE-588)4000457-0 (DE-588)4177447-4 (DE-588)4560677-8 (DE-588)4222919-4 (DE-588)4113937-9 |
| title | Nonlinear control based on local linear neuro-fuzzy models |
| title_auth | Nonlinear control based on local linear neuro-fuzzy models |
| title_exact_search | Nonlinear control based on local linear neuro-fuzzy models |
| title_exact_search_txtP | Nonlinear control based on local linear neuro-fuzzy models |
| title_full | Nonlinear control based on local linear neuro-fuzzy models Alexander Fink |
| title_fullStr | Nonlinear control based on local linear neuro-fuzzy models Alexander Fink |
| title_full_unstemmed | Nonlinear control based on local linear neuro-fuzzy models Alexander Fink |
| title_short | Nonlinear control based on local linear neuro-fuzzy models |
| title_sort | nonlinear control based on local linear neuro fuzzy models |
| topic | Nichtlineare Regelung (DE-588)4132964-8 gnd Prozessmodell (DE-588)4237203-3 gnd Adaptivregelung (DE-588)4000457-0 gnd Reglerentwurf (DE-588)4177447-4 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd Prozessregelung (DE-588)4222919-4 gnd |
| topic_facet | Nichtlineare Regelung Prozessmodell Adaptivregelung Reglerentwurf Neuro-Fuzzy-System Prozessregelung Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016323545&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000882482 |
| work_keys_str_mv | AT finkalexander nonlinearcontrolbasedonlocallinearneurofuzzymodels |