Nonlinear identification and control: a neural network approach
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
London [u.a.]
Springer
2001
|
Schriftenreihe: | Advances in industrial control
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XX, 210 S. graph. Darst. |
ISBN: | 1852333421 |
Internformat
MARC
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003 | DE-604 | ||
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008 | 010731s2001 gw d||| |||| 00||| eng d | ||
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020 | |a 1852333421 |9 1-85233-342-1 | ||
035 | |a (OCoLC)47168775 | ||
035 | |a (DE-599)BVBBV013851321 | ||
040 | |a DE-604 |b ger |e rakddb | ||
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082 | 0 | |a 629.8 |2 21 | |
100 | 1 | |a Liu, Guo Ping |d 1962- |e Verfasser |0 (DE-588)122982746 |4 aut | |
245 | 1 | 0 | |a Nonlinear identification and control |b a neural network approach |c G. P. Liu |
264 | 1 | |a London [u.a.] |b Springer |c 2001 | |
300 | |a XX, 210 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Advances in industrial control | |
650 | 4 | |a Automatic control | |
650 | 4 | |a Neural networks (Computer science) | |
650 | 4 | |a Nonlinear theories | |
650 | 4 | |a System identification | |
650 | 0 | 7 | |a Nichtlineares System |0 (DE-588)4042110-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Systemidentifikation |0 (DE-588)4121753-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nichtlineares Regelungssystem |0 (DE-588)4276212-1 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Nichtlineares System |0 (DE-588)4042110-7 |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 |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Nichtlineares Regelungssystem |0 (DE-588)4276212-1 |D s |
689 | 1 | 1 | |a Systemidentifikation |0 (DE-588)4121753-6 |D s |
689 | 1 | 2 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
689 | 1 | |5 DE-604 | |
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943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-009475032 |
Datensatz im Suchindex
_version_ | 1808227504081600512 |
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adam_text |
TABLE
OF
CONTENTS
SYMBOLS
AND
ABBREVIATIONS
.
XIX
1.
NEURAL
NETWORKS
.
1
1.1
INTRODUCTION
.
1
1.2
MODEL
OF
A
NEURON
.
2
1.3
ARCHITECTURES
OF
NEURAL
NETWORKS
.
4
1.3.1
SINGLE
LAYER
NETWORKS
.
4
1.3.2
MULTILAYER
NETWORKS
.
4
1.3.3
RECURRENT
NETWORKS
.
5
1.3.4
LATTICE
NETWORKS
.
6
1.4
VARIOUS
NEURAL
NETWORKS
.
7
1.4.1
RADIAL
BASIS
FUNCTION
NETWORKS
.
7
1.4.2
GAUSSIAN
RBF
NETWORKS
.
8
1.4.3
POLYNOMIAL
BASIS
FUNCTION
NETWORKS
.
9
1.4.4
FUZZY
NEURAL
NETWORKS
.
9
1.4.5
WAVELET
NEURAL
NETWORKS
.
10
1.4.6
GENERAL
FORM
OF
NEURAL
NETWORKS
.
13
1.5
LEARNING
AND
APPROXIMATION
.
14
1.5.1
BACKGROUND
TO
FUNCTION
APPROXIMATION
.
14
1.5.2
UNIVERSAL
APPROXIMATION
.
15
1.5.3
CAPACITY
OF
NEURAL
NETWORKS
.
16
1.5.4
GENERALISATION
OF
NEURAL
NETWORKS
.
17
1.5.5
ERROR
BACK
PROPAGATION
ALGORITHM
.
17
1.5.6
RECURSIVE
LEARNING
ALGORITHMS
.
19
1.5.7
LEAST
MEAN
SQUARE
ALGORITHM
.
20
1.6
APPLICATIONS
OF
NEURAL
NETWORKS
.
20
1.6.1
CLASSIFICATION
.
20
1.6.2
FILTERING
.
21
1.6.3
MODELLING
AND
PREDICTION
.
21
1.6.4
CONTROL
.
22
1.6.5
HARDWARE
IMPLEMENTATION
.
23
1.7
MATHEMATICAL
PRELIMINARIES
.
23
1.8
SUMMARY
.
25
XVI
TABLE
OF
CONTENTS
2.
SEQUENTIAL
NONLINEAR
IDENTIFICATION
.
27
2.1
INTRODUCTION
.
27
2.2
VARIABLE
NEURAL
NETWORKS
.
29
2.2.1
VARIABLE
GRIDS
.
30
2.2.2
VARIABLE
NETWORKS
.
31
2.2.3
SELECTION
OF
BASIS
FUNCTIONS
.
33
2.3
DYNAMICAL
SYSTEM
MODELLING
BY
NEURAL
NETWORKS
.
36
2.4
STABLE
NONLINEAR
IDENTIFICATION
.
38
2.5
SEQUENTIAL
NONLINEAR
IDENTIFICATION
.
41
2.6
SEQUENTIAL
IDENTIFICATION
OF
MULTIVARIABLE
SYSTEMS
.
45
2.7
AN
EXAMPLE
.
49
2.8
SUMMARY
.
51
3.
RECURSIVE
NONLINEAR
IDENTIFICATION
.
53
3.1
INTRODUCTION
.
53
3.2
NONLINEAR
MODELLING
BY
VPBF
NETWORKS
.
54
3.3
STRUCTURE
SELECTION
OF
NEURAL
NETWORKS
.
56
3.3.1
OFF-LINE
STRUCTURE
SELECTION
.
56
3.3.2
ON-LINE
STRUCTURE
SELECTION
.
59
3.4
RECURSIVE
LEARNING
OF NEURAL
NETWORKS
.
60
3.5
EXAMPLES
.
66
3.6
SUMMARY
.
76
4.
MULTIOBJECTIVE
NONLINEAR
IDENTIFICATION
.
77
4.1
INTRODUCTION
.
77
4.2
MULTIOBJECTIVE
MODELLING
WITH
NEURAL
NETWORKS
.
78
4.3
MODEL
SELECTION
BY
GENETIC
ALGORITHMS
.
81
4.3.1
GENETIC
ALGORITHMS
.
81
4.3.2
MODEL
SELECTION
.
84
4.4
MULTIOBJECTIVE
IDENTIFICATION
ALGORITHM
.
86
4.5
EXAMPLES
.
90
4.6
SUMMARY
.
100
5.
WAVELET
BASED
NONLINEAR
IDENTIFICATION
.
101
5.1
INTRODUCTION
.
101
5.2
WAVELET
NETWORKS
.
102
5.2.1
ONE-DIMENSIONAL
WAVELETS
.
102
5.2.2
MULTI-DIMENSIONAL
WAVELETS
.
104
5.2.3
WAVELET
NETWORKS
.
104
5.3
IDENTIFICATION
USING
FIXED
WAVELET
NETWORKS
.
105
5.4
IDENTIFICATION
USING
VARIABLE
WAVELET
NETWORKS
.
108
5.4.1
VARIABLE
WAVELET
NETWORKS
.
109
5.4.2
PARAMETER
ESTIMATION
.
ILL
5.5
IDENTIFICATION
USING
B-SPLINE
WAVELETS
.
113
5.5.1
ONE-DIMENSIONAL
B-SPLINE
WAVELETS
.
113
5.5.2
N-DIMENSIONAL
B-SPLINE
WAVELETS
.
115
TABLE
OF
CONTENTS
XVII
5.6
AN
EXAMPLE
.
116
5.7
SUMMARY
.
124
6.
NONLINEAR
ADAPTIVE
NEURAL
CONTROL
.
125
6.1
INTRODUCTION
.
125
6.2
ADAPTIVE
CONTROL
.
126
6.3
ADAPTIVE
NEURAL
CONTROL
.
129
6.4
ADAPTATION
ALGORITHM
WITH
VARIABLE
NETWORKS
.
135
6.5
EXAMPLES
.
137
6.6
SUMMARY
.
141
7.
NONLINEAR
PREDICTIVE
NEURAL
CONTROL
.
143
7.1
INTRODUCTION
.
143
7.2
PREDICTIVE
CONTROL
.
144
7.3
NONLINEAR
NEURAL
PREDICTORS
.
148
7.4
PREDICTIVE
NEURAL
CONTROL
.
150
7.5
ON-LINE
LEARNING
OF
NEURAL
PREDICTORS
.
152
7.6
SEQUENTIAL
PREDICTIVE
NEURAL
CONTROL
.
155
7.7
AN
EXAMPLE
.
157
7.8
SUMMARY
.
160
8.
VARIABLE
STRUCTURE
NEURAL
CONTROL
.
163
8.1
INTRODUCTION
.
163
8.2
VARIABLE
STRUCTURE
CONTROL
.
164
8.3
VARIABLE
STRUCTURE
NEURAL
CONTROL
.
168
8.4
GENERALISED
VARIABLE
STRUCTURE
NEURAL
CONTROL
.
172
8.5
RECURSIVE
LEARNING
FOR
VARIABLE
STRUCTURE
CONTROL
.
174
8.6
AN
EXAMPLE
.
176
8.7
SUMMARY
.
178
9.
NEURAL
CONTROL
APPLICATION
TO
COMBUSTION
PROCESSES
.
179
9.1
INTRODUCTION
.
179
9.2
MODEL
OF
COMBUSTION
DYNAMICS
.
180
9.3
NEURAL
NETWORK
BASED
MODE
OBSERVER
.
182
9.4
OUTPUT
PREDICTOR
AND
CONTROLLER
.
183
9.5
ACTIVE
CONTROL
OF
A
SIMULATED
COMBUSTOR
.
184
9.6
ACTIVE
CONTROL
OF
AN
EXPERIMENTAL
COMBUSTOR
.
190
9.7
SUMMARY
.
192
REFERENCES
.
193
INDEX
.
209 |
any_adam_object | 1 |
author | Liu, Guo Ping 1962- |
author_GND | (DE-588)122982746 |
author_facet | Liu, Guo Ping 1962- |
author_role | aut |
author_sort | Liu, Guo Ping 1962- |
author_variant | g p l gp gpl |
building | Verbundindex |
bvnumber | BV013851321 |
callnumber-first | T - Technology |
callnumber-label | TJ213 |
callnumber-raw | TJ213 |
callnumber-search | TJ213 |
callnumber-sort | TJ 3213 |
callnumber-subject | TJ - Mechanical Engineering and Machinery |
ctrlnum | (OCoLC)47168775 (DE-599)BVBBV013851321 |
dewey-full | 629.8 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 629 - Other branches of engineering |
dewey-raw | 629.8 |
dewey-search | 629.8 |
dewey-sort | 3629.8 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
format | Book |
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id | DE-604.BV013851321 |
illustrated | Illustrated |
indexdate | 2024-08-24T00:42:07Z |
institution | BVB |
isbn | 1852333421 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009475032 |
oclc_num | 47168775 |
open_access_boolean | |
owner | DE-703 DE-706 |
owner_facet | DE-703 DE-706 |
physical | XX, 210 S. graph. Darst. |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Springer |
record_format | marc |
series2 | Advances in industrial control |
spelling | Liu, Guo Ping 1962- Verfasser (DE-588)122982746 aut Nonlinear identification and control a neural network approach G. P. Liu London [u.a.] Springer 2001 XX, 210 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in industrial control Automatic control Neural networks (Computer science) Nonlinear theories System identification Nichtlineares System (DE-588)4042110-7 gnd rswk-swf Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Nichtlineares Regelungssystem (DE-588)4276212-1 gnd rswk-swf Nichtlineares System (DE-588)4042110-7 s Systemidentifikation (DE-588)4121753-6 s Neuronales Netz (DE-588)4226127-2 s DE-604 Nichtlineares Regelungssystem (DE-588)4276212-1 s DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009475032&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Liu, Guo Ping 1962- Nonlinear identification and control a neural network approach Automatic control Neural networks (Computer science) Nonlinear theories System identification Nichtlineares System (DE-588)4042110-7 gnd Systemidentifikation (DE-588)4121753-6 gnd Neuronales Netz (DE-588)4226127-2 gnd Nichtlineares Regelungssystem (DE-588)4276212-1 gnd |
subject_GND | (DE-588)4042110-7 (DE-588)4121753-6 (DE-588)4226127-2 (DE-588)4276212-1 |
title | Nonlinear identification and control a neural network approach |
title_auth | Nonlinear identification and control a neural network approach |
title_exact_search | Nonlinear identification and control a neural network approach |
title_full | Nonlinear identification and control a neural network approach G. P. Liu |
title_fullStr | Nonlinear identification and control a neural network approach G. P. Liu |
title_full_unstemmed | Nonlinear identification and control a neural network approach G. P. Liu |
title_short | Nonlinear identification and control |
title_sort | nonlinear identification and control a neural network approach |
title_sub | a neural network approach |
topic | Automatic control Neural networks (Computer science) Nonlinear theories System identification Nichtlineares System (DE-588)4042110-7 gnd Systemidentifikation (DE-588)4121753-6 gnd Neuronales Netz (DE-588)4226127-2 gnd Nichtlineares Regelungssystem (DE-588)4276212-1 gnd |
topic_facet | Automatic control Neural networks (Computer science) Nonlinear theories System identification Nichtlineares System Systemidentifikation Neuronales Netz Nichtlineares Regelungssystem |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009475032&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT liuguoping nonlinearidentificationandcontrolaneuralnetworkapproach |