Fuzzy logic: implementation and applications
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | German |
Veröffentlicht: |
Chichester [u.a.]
Wiley-Teubner
1996
|
Schriftenreihe: | Wiley-Teubner communications
|
Schlagworte: | |
Online-Zugang: | Publisher description Table of Contents Inhaltsverzeichnis |
Beschreibung: | Literaturangaben |
Beschreibung: | XVIII, 317 S. Ill., graph. Darst. |
ISBN: | 3519064502 0471950599 |
Internformat
MARC
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003 | DE-604 | ||
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016 | 7 | |a 947191526 |2 DE-101 | |
020 | |a 3519064502 |c (Teubner) Pp. : DM 88.00, sfr 88.00, S 651.00 |9 3-519-06450-2 | ||
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245 | 1 | 0 | |a Fuzzy logic |b implementation and applications |c ed. by M. J. Patyra ; D. M. Mlynek |
264 | 1 | |a Chichester [u.a.] |b Wiley-Teubner |c 1996 | |
300 | |a XVIII, 317 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Wiley-Teubner communications | |
500 | |a Literaturangaben | ||
650 | 7 | |a Commande automatique |2 ram | |
650 | 7 | |a Fuzzy logic |2 gtt | |
650 | 7 | |a Logique floue |2 ram | |
650 | 7 | |a Sistemas de controle |2 larpcal | |
650 | 4 | |a Automatic control | |
650 | 4 | |a Fuzzy logic | |
650 | 0 | 7 | |a Fuzzy-Logik |0 (DE-588)4341284-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Fuzzy-Regelung |0 (DE-588)4395755-9 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Fuzzy-Logik |0 (DE-588)4341284-1 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Fuzzy-Regelung |0 (DE-588)4395755-9 |D s |
689 | 1 | |5 DE-604 | |
700 | 1 | |a Patyra, Marek J. |e Sonstige |4 oth | |
856 | 4 | |u http://www.loc.gov/catdir/description/wiley033/95045241.html |3 Publisher description | |
856 | 4 | |u http://www.loc.gov/catdir/toc/onix04/95045241.html |3 Table of Contents | |
856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007156262&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-007156262 |
Datensatz im Suchindex
DE-BY-862_location | 2000 |
---|---|
DE-BY-FWS_call_number | 2000/SK 150 P322 |
DE-BY-FWS_katkey | 149089 |
DE-BY-FWS_media_number | 083000272972 |
_version_ | 1808141823478071296 |
adam_text |
CONTENTS
EDITOR
'
S
PREFACE
XI
LIST
OF
CONTRIBUTORS
XVII
ACKNOWLEDGMENTS
XIX
THEORY
1
1
FUZZY
SETS
IN
APPROXIMATE
REASONING:
A
PERSONAL
VIEW
3
1.1
INTRODUCTION
3
1.2
GRADUALITY
AND
SIMILARITY-BASED
APPROXIMATE
REASONING
4
1.2.1
COMPARISON
OF
FUZZY
RELATIONS,
EXTENSION
PRINCIPLE
AND
SIMILARITY
4
1.2.2
INTERPOLATIVE
REASONING
6
1.2.3
QUALITATIVE
REASONING
9
1.3
UNCERTAINTY
MANAGEMENT
11
1.3.1
BACKGROUND
12
1.3.2
UNCERTAIN
FUZZY
RULES
15
1.3.3
APPROXIMATE
REASONING
WITH
FUZZY
RULES
18
1.3.4
POSSIBILISTIC
LOGIC
21
1.3.5
DEFAULT
REASONING
24
1.3.6
ABDUCTIVE
REASONING
26
1.4
CONCLUDING
REMARKS
32
REFERENCES
32
FUZZY
LOGIC
CONTROL
37
2
FUZZY
LOGIC
CONTROL:
A
SYSTEMATIC
DESIGN
AND
PERFORMANCE
ASSESSMENT
METHODOLOGY
39
2.1
INTRODUCTION
39
2.2
THE
PHASE
PORTRAIT
ASSIGNMENT
ALGORITHM
41
2.2.1
FUZZY
LOGIC
CONTROL
41
2.2.2
THE
AUTOMATIC
RULE-GENERATION
METHOD
42
2.3
PERFORMANCE
ASSESSMENT
49
2.3.1
STABILITY
ANALYSIS
50
2.3.2
ROBUSTNESS
ANALYSIS
51
2.4
APPLICATION
EXAMPLES
53
2.4.1
THE
ENGINE
MODEL
53
2.4.2
THE
FUZZY
CONTROLLER
55
2.4.3
SIMULATION
RESULTS
59
VL
CONTENTS
2.5
STABILITY
AND
ROBUSTNESS
RESULTS
59
2.6
CONCLUSIONS
61
ACKNOWLEDGMENT
61
REFERENCES
62
3
ON
THE
COMPATIBILITY
OF
FUZZY
CONTROL
AND
CONVENTIONAL
CONTROL
TECHNIQUES
63
3.1
INTRODUCTION
63
3.2
SLIDING
MODE
FUZZY
CONTROL
65
3.2.1
THE
PRINCIPLE
OF
SLIDING
MODE
CONTROL
65
3.2.2
THE
SIMILARITY
BETWEEN
SMC
AND
FC
67
3.2.3
THE
SLIDING
MODE
FC
(SMFC)
AS
A
STATE-DEPENDENT
FILTER
68
3.2.4
NORMALIZATION
AND
DENORMALIZATION
69
3.2.5
FC
WITH
BOUNDARY
LAYER
70
3.2.6
FC
OF
HIGHER
ORDER
71
3.2.7
NUMERICAL
EXAMPLE
73
3.3
SCALING
OF
FUZZY
CONTROLLERS
USING
THE
CROSS-CORRELATION
78
3.3.1
INPUT-OUTPUT
CORRELATION
FOR
AN
FC
81
3.3.2
APPLICATION
TO
A
REDUNDANT
MANIPULATOR
ARM
87
3.4
FUZZY
INPUTS
90
3.4.1
SOME
USEFUL
OPERATIONS
ON
FUZZY
SETS
91
3.4.2
THE
SGN-FUNCTION
97
3.4.3
SLIDING
MODE
CONTROL
AND
RELATED
CONTROL
STRATEGIES
99
3.4.4
SIMULATION
RESULTS
107
REFERENCES
113
4
ON
THE
CRISP-TYPE
FUZZY
CONTROLLER:
BEHAVIOUR
ANALYSIS
AND
IMPROVEMENT
117
4.1
INTRODUCTION
117
4.2
THE
CRISP-TYPE
FUZZY
LOGIC
CONTROLLER
118
4.3
THE
DYNAMIC
ANALYSIS
OF
THE
CRISP-TYPE
FUZZY
CONTROLLER
119
4.4
THE
STATIC
ANALYSIS
OF
THE
CRISP-TYPE
FUZZY
CONTROL
SYSTEM
127
4.5
AN
IMPROVEMENT:
PID-TYPE
FUZZY
CONTROLLER
STRUCTURE
130
4.6
FURTHER
IMPROVEMENT: THE
PARAMETER
ADAPTIVE
FUZZY
CONTROLLER
134
4.7
CONCLUSIONS
137
REFERENCES
138
FUZZY
LOGIC
HARDWARE
IMPLEMENTATIONS
141
5
DESIGN
CONSIDERATIONS
OF
DIGITAL
FUZZY
LOGIC
CONTROLLERS
143
5.1
INTRODUCTION
143
5.2
DIGITAL-BASED
FUZZY
LOGIC
HARDWARE
144
5.2.1
DIGITAL
FUZZIFICATION
144
5.2.2
DIGITAL
FUZZY
INFERENCING
146
5.2.3
DIGITAL
DEFUZZIFICATION
149
5.3
FUZZY
LOGIC
BASED
CONTROLLERS
151
5.3.1
DIGITAL
FLC
CHARACTERISTICS
151
5.3.2
SINGLE-INPUT
SINGLE-OUTPUT
FUZZY
LOGIC
CONTROLLERS
153
5.3.3
DOUBLE-INPUT
SINGLE-OUTPUT
FUZZY
LOGIC
CONTROLLER
155
5.3.4
MULTIPLE-INPUT
SINGLE-OUTPUT
FUZZY
LOGIC
CONTROLLER
157
5.3.5
MULTIPLE-INPUT
MULTIPLE-OUTPUT
FUZZY
LOGIC
CONTROLLER
159
CONTENTS
VLI
5.4
HARDWARE
IMPLEMENTATION:
COMPARATIVE
STUDY
163
5.4.1
HARDWARE
MAPPING
OF
FLC
MODELS
164
5.4.2
HARDWARE
IMPLEMENTATION
ISSUES
171
5.4.3
SUMMARY
172
5.5
FINAL
REMARKS
172
REFERENCES
173
6
PARALLEL
ALGORITHM
FOR
FUZZY
LOGIC
CONTROLLER
177
6.1
INTRODUCTION
177
6.2
MATHEMATICAL
MODELS
FOR
FUZZY
MODEL
BUILDING
AND
INFERENCE
COMPUTATIONS
177
6.2.1
SINGLE-INPUT
SINGLE-OUTPUT
SYSTEM
177
6.2.2
MULTIPLE-INPUT
SINGLE-OUTPUT
SYSTEM
179
6.2.3
MULTIPLE-INPUT
MULTIPLE-OUTPUT
SYSTEM
180
6.3
PARALLEL
ALGORITHM
181
6.4
CONCEPTUAL
HARDWARE
IMPLEMENTATION
187
6.4.1
SISO
SYSTEM
187
6.4.2
HARDWARE
ARCHITECTURES
FOR
MISO
AND
MIMO
SYSTEMS
190
6.4.3
FUZZY
CONTROLLER
HARDWARE
ACCELERATOR
191
6.5
PERFORMANCE
CHARACTERISTICS
192
6.5.1
MAXIMUM
SUSTAINABLE
PROCESSING
RATE
192
6.5.2
IMPROVEMENTS
193
6.6
CONCLUSIONS
194
REFERENCES
194
7
FUZZY
FLIP-FLOP
197
7.1
INTRODUCTION
197
7.2
OUTLINE
OF
BINARY
FLIP-FLOP
AND
FUNDAMENTAL
FUZZY
OPERATIONS
198
7.2.1
A
BINARY
LOGIC
J-K
FLIP-FLOP
198
7.2.2
DEFINITION
OF
FUZZY
NEGATION,
T-NORM
AND
S-NORM
199
7.3
DEFINITION
OF
FUZZY
FLIP-FLOP
201
7.4
FUZZY
FLIP-FLOP
USING
COMPLEMENTATION,
MIN
AND
MAX
OPERATIONS
203
7.5
FUZZY
FLIP-FLOP
USING
COMPLEMENTATION,
ALGEBRAIC
PRODUCT
AND
ALGEBRAIC
SUM
207
7.6
FUNDAMENTALS
OF
IMPLEMENTATION
OF
THE
MIN
MAX
FUZZY
FLIP-FLOP
207
7.7
DISCRETE
AND
VOLTAGE
MODE
MIN
MAX
FUZZY
FLIP-FLOP
CIRCUITS
210
7.8
FUNDAMENTALS
OF
IMPLEMENTATION
OF
THE
ALGEBRAIC
FUZZY
FLIP-FLOP
217
7.9
DISCRETE
AND
VOLTAGE
MODE
ALGEBRAIC
FUZZY
FLIP-FLOP
CIRCUITS
219
7.10
COMPARISON
OF
THE
PERFORMANCE
OF
MIN
MAX
TYPE
VERSUS
ALGEBRAIC
TYPE
FUZZY
FLIP-FLOP
CIRCUIT
221
7.11
FUZZY
REGISTER
CIRCUIT
222
7.12
VLSI
DESIGN
OF
THE
FUZZY
REGISTER
CIRCUIT
224
7.12.1
VLSI
DESIGN
OF
THE
MIN
MAX
TYPE
FUZZY
FLIP-FLOP
CIRCUIT
224
7.12.2
VLSI
DESIGN
OF
THE
FUZZY
REGISTER
230
7.13
CONCLUSION
235
REFERENCES
235
8
DESIGN
AUTOMATION
OF
FUZZY
LOGIC
CIRCUITS
237
8.1
INTRODUCTION
237
8.2
BASIC
FUZZY
OPERATORS
238
8.2.1
TERMINOLOGY
AND
RESOLUTION
PRINCIPLE
238
8.2.2
FUZZY
INCLUSION
AS
THE
NATURAL
EXTENSION
OF
BOOLEAN
INCLUSION
239
8.2.3
SYMBOLIC
IMPLEMENTATION
OF
FUZZY
OPERATORS
242
VLIL
CONTENTS
8.3
CMOS
IMPLEMENTATION
243
8.3.1
CMOS
IMPLEMENTATION
OF
FUZZY
OPERATORS
243
8.3.2
CURRENT
MIRROR-BASED
APPROACH
244
8.3.3
CASE
STUDY:
IMPLEMENTATION
OF
THE
MIN
UNIT
247
8.4
FUZZY
DEVELOPMENT
SYSTEM
247
8.4.1
BASIC
FRAMEWORK
OF
THE
FUZZY
LOGIC
DEVELOPMENT
ENVIRONMENT
248
8.4.2
GRAPHICAL
SIMULATION
INTERFACE
249
8.4.3
DESIGN
AUTOMATION
SYSTEM
250
8.4.4
NETLIST
252
8.4.5
PLACEMENT
256
8.4.6
ROUTE
256
8.4.7
SUPERPHENIX
256
8.5
CMOS
FUZZY
LOGIC-BASED
CONTROLLER
259
8.6
CONCLUSION
260
8.6.1
FEATURES
OF
THE
VLSI
TECHNIQUE
TAKEN
FOR
THE
INTEGRATION
OF
FUZZY
CIRCUITS
260
8.6.2
IMPROVEMENT
OF
THE
STRUCTURE
OF
THE
FUZZY
LOGIC
DEVELOPMENT
ENVIRONMENT
261
ACKNOWLEDGMENTS
262
REFERENCES
262
HYBRID
SYSTEMS
AND
APPLICATIONS
265
9
NEURO-FUZZY
SYSTEMS:
HYBRID
CONFIGURATIONS
267
9.1
PRELIMINARIES
267
9.2
MAIN
CLASSES
OF
FUZZY
SYSTEMS
269
9.3
FUZZY
SYSTEMS
270
9.3.1
LINGUISTIC
SYSTEMS
AND
FUZZY
SYSTEMS
270
9.3.2
FUZZY
SYSTEMS
AND
MEMORY
PROCESSES
271
9.3.3
CLASSIC
NEURONS
272
9.3.4
LINEAR
COMBINERS
AS
NEURONS
274
9.3.5
ELEMENTARY
RECURRENT
SYSTEMS
275
9.4
FUZZY
NEURONS
276
9.4.1
ELEMENTARY
FUZZY
NEURONS
276
9.4.2
NEURONS
WITH
FUZZY
WEIGHTS
277
9.4.3
INCLUSION
OF
FUZZY
WEIGHTS
INTO
THE
CONVENTIONAL
NEURON
MODEL
277
9.5
NEURAL
NETWORKS
283
9.6
DISCRETE
SYSTEMS
AND
GENERALIZATIONS
TO
NEURO-FUZZY
SYSTEMS
285
9.7
INVARIANT
NEURO-FUZZY
SYSTEMS
287
9.7.1
MAIN
CONFIGURATIONS
287
9.7.2
SERIES
NEURO-FUZZY
SYSTEMS
AND
THEIR
INTERPRETATION
290
9.8
SEVERAL
RECURRENT
NEURO-FUZZY
SYSTEM
CONFIGURATIONS
292
9.8.1
ELEMENTARY
LOOPS:
MODELS
OF
MEMORY
EFFECTS
(OUTPUT
MEMORY)
292
9.8.2
IMPLEMENTATION
OF
COMPLEX
EQUATIONS
AND
CONNECTIONS
WITH
CHAOS
IN
CLASSIC
SYSTEMS
294
9.9
FINAL
REMARKS
296
REFERENCES
296
10
A
FUZZY
LOGIC
APPROACH
TO
HANDWRITING
RECOGNITION
299
10.1
INTRODUCTION
299
10.2
HUMAN
READING
300
10.3
HANDWRITING
RECOGNITION:
CURRENT
APPROACHES
302
10.4
A
FUZZY
PROCESSOR
FOR
HANDWRITING
RECOGNITION
304
10.4.1
DATA
EXTRACTION
AND
PREPROCESSING
304
CONTENTS
LX
10.4.2
THE
FEATURE
MEASURES
305
10.4.3
THE
FUZZY
RECOGNITION
PROCESS
307
10.5
TRAINING
308
10.5.1
FUZZINESS
AND
STATISTICS
308
10.6
RULEBASE
QUALITY
309
10.6.1
DISCRIMINABILITY
309
10.6.2
USEFULNESS
OF
MEASURES
AND
RULEBASE
REDUCTION
310
10.6.3
COMPLETENESS
310
10.6.4
OVERALL
QUALITY
AND
SELF-TUNING
312
10.7
RESULTS
312
10.8
CONCLUSIONS
313
ACKNOWLEDGMENTS
313
REFERENCES
313
INDEX
315 |
any_adam_object | 1 |
building | Verbundindex |
bvnumber | BV010716786 |
callnumber-first | T - Technology |
callnumber-label | TJ213 |
callnumber-raw | TJ213.F88 1996 |
callnumber-search | TJ213.F88 1996 |
callnumber-sort | TJ 3213 F88 41996 |
callnumber-subject | TJ - Mechanical Engineering and Machinery |
classification_rvk | SK 130 SK 150 ST 130 ST 300 ZQ 5240 |
classification_tum | DAT 773f |
ctrlnum | (OCoLC)722106905 (DE-599)BVBBV010716786 |
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 / Mechatronik |
format | Book |
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id | DE-604.BV010716786 |
illustrated | Illustrated |
indexdate | 2024-08-23T04:00:17Z |
institution | BVB |
isbn | 3519064502 0471950599 |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007156262 |
oclc_num | 722106905 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM DE-703 DE-92 DE-862 DE-BY-FWS DE-521 DE-523 DE-634 DE-11 |
owner_facet | DE-91G DE-BY-TUM DE-703 DE-92 DE-862 DE-BY-FWS DE-521 DE-523 DE-634 DE-11 |
physical | XVIII, 317 S. Ill., graph. Darst. |
publishDate | 1996 |
publishDateSearch | 1996 |
publishDateSort | 1996 |
publisher | Wiley-Teubner |
record_format | marc |
series2 | Wiley-Teubner communications |
spellingShingle | Fuzzy logic implementation and applications Commande automatique ram Fuzzy logic gtt Logique floue ram Sistemas de controle larpcal Automatic control Fuzzy logic Fuzzy-Logik (DE-588)4341284-1 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd |
subject_GND | (DE-588)4341284-1 (DE-588)4395755-9 |
title | Fuzzy logic implementation and applications |
title_auth | Fuzzy logic implementation and applications |
title_exact_search | Fuzzy logic implementation and applications |
title_full | Fuzzy logic implementation and applications ed. by M. J. Patyra ; D. M. Mlynek |
title_fullStr | Fuzzy logic implementation and applications ed. by M. J. Patyra ; D. M. Mlynek |
title_full_unstemmed | Fuzzy logic implementation and applications ed. by M. J. Patyra ; D. M. Mlynek |
title_short | Fuzzy logic |
title_sort | fuzzy logic implementation and applications |
title_sub | implementation and applications |
topic | Commande automatique ram Fuzzy logic gtt Logique floue ram Sistemas de controle larpcal Automatic control Fuzzy logic Fuzzy-Logik (DE-588)4341284-1 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd |
topic_facet | Commande automatique Fuzzy logic Logique floue Sistemas de controle Automatic control Fuzzy-Logik Fuzzy-Regelung |
url | http://www.loc.gov/catdir/description/wiley033/95045241.html http://www.loc.gov/catdir/toc/onix04/95045241.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007156262&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT patyramarekj fuzzylogicimplementationandapplications |
Inhaltsverzeichnis
THWS Schweinfurt Zentralbibliothek Lesesaal
Signatur: |
2000 SK 150 P322 |
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Exemplar 1 | ausleihbar Verfügbar Bestellen |