Nonlinear system identification with local linear neuro-fuzzy models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | German |
| Veröffentlicht: |
Aachen
Shaker
1999
|
| Ausgabe: | Als Ms. gedr. |
| Schriftenreihe: | Berichte aus der Automatisierungstechnik
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | V, 179 S. Ill., graph. Darst. |
| ISBN: | 3826548809 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
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| 001 | BV012468167 | ||
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| 020 | |a 3826548809 |c Pb. : DM 94.00, sfr 94.00, S 659.00 |9 3-8265-4880-9 | ||
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| 100 | 1 | |a Nelles, Oliver |d 1969- |e Verfasser |0 (DE-588)120996596 |4 aut | |
| 245 | 1 | 0 | |a Nonlinear system identification with local linear neuro-fuzzy models |c Oliver Nelles |
| 250 | |a Als Ms. gedr. | ||
| 264 | 1 | |a Aachen |b Shaker |c 1999 | |
| 300 | |a V, 179 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Berichte aus der Automatisierungstechnik | |
| 502 | |a Zugl.: Darmstadt, Techn. Univ., Diss., 1998 | ||
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| 650 | 0 | 7 | |a Nichtlineares dynamisches System |0 (DE-588)4126142-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
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| 689 | 0 | 0 | |a Nichtlineares dynamisches System |0 (DE-588)4126142-2 |D s |
| 689 | 0 | 1 | |a Systemidentifikation |0 (DE-588)4121753-6 |D s |
| 689 | 0 | 2 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-008461756 | |
Datensatz im Suchindex
| _version_ | 1807773061727911936 |
|---|---|
| adam_text |
CONTENTS
1
INTRODUCTION
1
1.1
NONLINEAR
SYSTEM
IDENTIFICATION
-
STATE
OF
THE
ART
.
2
1.2
THESIS
STRUCTURE
AND
NEW
CONTRIBUTIONS
.
4
1.3
TERMINOLOGY
.
5
2
STATIC
LOCAL
LINEAR
NEURO-FUZZY
MODELS
-
FUNDAMENTALS
6
2.1
BASIC
IDEAS
.
6
2.1.1
ILLUSTRATION
OF
LOCAL
LINEAR
NEURO-FUZZY
MODELS
.
9
2.1.2
INTERPRETATION
OF
THE
LOCAL
LINEAR
MODEL
OFFSETS
.
9
2.1.3
INTERPRETATION
AS
TAKAGI-SUGENO
FUZZY
SYSTEM
.
10
2.1.4
INTERPRETATION
AS
EXTENDED
NRBF
NETWORK
.
13
2.2
PARAMETER
OPTIMIZATION
OF
THE
RULE
CONSEQUENTS
.
15
2.2.1
GLOBAL
ESTIMATION
.
15
2.2.2
LOCAL
ESTIMATION
.
17
2.2.3
GLOBAL
VERSUS
LOCAL
ESTIMATION
.
20
2.3
STRUCTURE
OPTIMIZATION
OF
THE
RULE
PREMISES
.
24
2.3.1
LOCAL
LINEAR
MODEL
TREE
(LOLIMOT)
ALGORITHM
.
27
2.3.2
DIFFERENT
OBJECTIVES
FOR
STRUCTURE
AND
PARAMETER
OPTIMIZATION
.
33
2.3.3
SMOOTHNESS
OPTIMIZATION
.
36
2.4
SUMMARY
.
37
3
STATIC
LOCAL
LINEAR
NEURO-FUZZY
MODELS
-
ADVANCED
ASPECTS
38
3.1
DIFFERENT
INPUT
SPACES
.
38
3.2
STRUCTURE
OPTIMIZATION
OF
THE
RULE
CONSEQUENTS
.
41
3.3
INTERPOLATION
AND
EXTRAPOLATION
BEHAVIOR
.
45
3.3.1
INTERPOLATION
BEHAVIOR
.
45
3.3.2
EXTRAPOLATION
BEHAVIOR
.
47
3.4
GLOBAL
AND
LOCAL
LINEARIZATION
.
52
3.5
ONLINE
LEARNING
.
56
3.5.1
ONLINE
ADAPTATION
OF
THE
RULE
CONSEQUENTS
.
57
II
CONTENTS
3.5.2
ONLINE
CONSTRUCTION
OF
THE
RULE
PREMISE
STRUCTURE
.
63
3.6
ERRORBARS
AND
DESIGN
OF
EXCITATION
SIGNALS
.
65
3.6.1
ERRORBARS
.
66
3.6.2
DETECTING
EXTRAPOLATION
.
68
3.6.3
DESIGN
OF
EXCITATION
SIGNALS
.
69
3.7
SUMMARY
AND
CONCLUSIONS
.
71
4
NONLINEAR
DYNAMIC
SYSTEM
IDENTIFICATION
74
4.1
FROM
LINEAR
TO
NONLINEAR
SYSTEM
IDENTIFICATION
.
74
4.2
EXTERNAL
DYNAMICS
.
75
4.2.1
ILLUSTRATION
OF
THE
EXTERNAL
DYNAMICS
APPROACH
.
75
4.2.2
SERIES-PARALLEL
AND
PARALLEL
MODELS
.
81
4.2.3
NONLINEAR
DYNAMIC
INPUT/OUTPUT
MODEL
CLASSES
.
83
4.2.4
RESTRICTIONS
OF
NONLINEAR
DYNAMIC
INPUT/OUTPUT
MODELS
.
85
4.3
INTERNAL
DYNAMICS
.
86
4.4
PARAMETER
SCHEDULING
APPROACH
.
87
4.5
MULTIVARIABLE
SYSTEMS
.
88
4.6
SUMMARY
.
89
5
DYNAMIC
LOCAL
LINEAR
NEURO-FUZZY
MODELS
90
5.1
ONE-STEP
PREDICTION
ERROR
VERSUS
SIMULATION
ERROR
.
92
5.2
DETERMINATION
OF
THE
RULE
PREMISES
.
94
5.3
LINEARIZATION
.
95
5.3.1
STATIC
AND
DYNAMIC
LINEARIZATION
.
95
5.3.2
DYNAMICS
OF
THE
LINEARIZED
MODEL
.
97
5.3.3
DIFFERENT
RULE
CONSEQUENT
STRUCTURES
.
99
5.4
DYNAMIC
LOLIMOT
SIMULATION
STUDIES
.
100
5.4.1
HAMMERSTEIN
PROCESS
.
100
5.4.2
WIENER
PROCESS
.
101
5.4.3
NDE
PROCESS
.
103
5.4.4
DYNAMIC
NONLINEARITY
PROCESS
.
105
5.5
ADVANCED
LOCAL
LINEAR
METHODS
AND
MODELS
.
106
CONTENTS
III
5.5.1
LOCAL
LINEAR
INSTRUMENTAL
VARIABLES
(IV)
METHOD
.
106
5.5.2
LOCAL
LINEAR
OUTPUT
ERROR
(OE)
MODELS
.
109
5.5.3
LOCAL
LINEAR
ARMAX
MODELS
.
109
5.6
STRUCTURE
OPTIMIZATION
OF
THE
RULE
CONSEQUENTS
.
110
5.7
SUMMARY
AND
CONCLUSIONS
.
114
6
APPLICATIONS
118
6.1
DRIVING
CYCLE
.
118
6.1.1
PROCESS
DESCRIPTION
.
119
6.1.2
SMOOTHING
OF
A
DRIVING
CYCLE
.
120
6.1.3
IMPROVEMENTS
AND
EXTENSIONS
.
120
6.1.4
DIFFERENTIATION
.
122
6.2
COOLING
BLAST
.
122
6.2.1
PROCESS
DESCRIPTION
.
123
6.2.2
EXPERIMENTAL
RESULTS
.
124
6.3
DIESEL
ENGINE
TURBOCHARGER
.
127
6.3.1
PROCESS
DESCRIPTION
.
128
6.3.2
EXPERIMENTAL
RESULTS
.
130
6.4
THERMAL
PLANT
.
135
6.4.1
PROCESS
DESCRIPTION
.
136
6.4.2
TRANSPORT
PROCESS
.
137
6.4.3
TUBULAR
HEAT
EXCHANGER
.
141
6.4.4
CROSS-FLOW
HEAT
EXCHANGER
.
145
6.5
SUMMARY
AND
CONCLUSIONS
.
151
7
SUMMARY
153
A
LINEAR
SUBSET
SELECTION
156
B
INTERPRETATION
OF
NEURO-FUZZY
MODELS
159
C
NONLINEAR
DYNAMIC
TEST
PROCESSES
164 |
| any_adam_object | 1 |
| author | Nelles, Oliver 1969- |
| author_GND | (DE-588)120996596 |
| author_facet | Nelles, Oliver 1969- |
| author_role | aut |
| author_sort | Nelles, Oliver 1969- |
| author_variant | o n on |
| building | Verbundindex |
| bvnumber | BV012468167 |
| classification_rvk | ZQ 5240 |
| classification_tum | MSR 625d |
| ctrlnum | (OCoLC)42917581 (DE-599)BVBBV012468167 |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| edition | Als Ms. gedr. |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV012468167 |
| illustrated | Illustrated |
| indexdate | 2024-08-19T00:18:58Z |
| institution | BVB |
| isbn | 3826548809 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008461756 |
| oclc_num | 42917581 |
| open_access_boolean | |
| owner | DE-703 DE-91 DE-BY-TUM DE-634 |
| owner_facet | DE-703 DE-91 DE-BY-TUM DE-634 |
| physical | V, 179 S. Ill., graph. Darst. |
| publishDate | 1999 |
| publishDateSearch | 1999 |
| publishDateSort | 1999 |
| publisher | Shaker |
| record_format | marc |
| series2 | Berichte aus der Automatisierungstechnik |
| spelling | Nelles, Oliver 1969- Verfasser (DE-588)120996596 aut Nonlinear system identification with local linear neuro-fuzzy models Oliver Nelles Als Ms. gedr. Aachen Shaker 1999 V, 179 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Berichte aus der Automatisierungstechnik Zugl.: Darmstadt, Techn. Univ., Diss., 1998 Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Nichtlineares dynamisches System (DE-588)4126142-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Nichtlineares dynamisches System (DE-588)4126142-2 s Systemidentifikation (DE-588)4121753-6 s Neuronales Netz (DE-588)4226127-2 s Fuzzy-Logik (DE-588)4341284-1 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008461756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Nelles, Oliver 1969- Nonlinear system identification with local linear neuro-fuzzy models Systemidentifikation (DE-588)4121753-6 gnd Nichtlineares dynamisches System (DE-588)4126142-2 gnd Neuronales Netz (DE-588)4226127-2 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
| subject_GND | (DE-588)4121753-6 (DE-588)4126142-2 (DE-588)4226127-2 (DE-588)4341284-1 (DE-588)4113937-9 |
| title | Nonlinear system identification with local linear neuro-fuzzy models |
| title_auth | Nonlinear system identification with local linear neuro-fuzzy models |
| title_exact_search | Nonlinear system identification with local linear neuro-fuzzy models |
| title_full | Nonlinear system identification with local linear neuro-fuzzy models Oliver Nelles |
| title_fullStr | Nonlinear system identification with local linear neuro-fuzzy models Oliver Nelles |
| title_full_unstemmed | Nonlinear system identification with local linear neuro-fuzzy models Oliver Nelles |
| title_short | Nonlinear system identification with local linear neuro-fuzzy models |
| title_sort | nonlinear system identification with local linear neuro fuzzy models |
| topic | Systemidentifikation (DE-588)4121753-6 gnd Nichtlineares dynamisches System (DE-588)4126142-2 gnd Neuronales Netz (DE-588)4226127-2 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
| topic_facet | Systemidentifikation Nichtlineares dynamisches System Neuronales Netz Fuzzy-Logik Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008461756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT nellesoliver nonlinearsystemidentificationwithlocallinearneurofuzzymodels |