Foundations of fuzzy control: a practical approach
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Chichester
Wiley
2013
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. [315] - 318 |
| Physical Description: | XIX, 325 S. graph. Darst. |
| ISBN: | 9781118506226 |
Staff View
MARC
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| 003 | DE-604 | ||
| 005 | 20140430 | ||
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| 008 | 131121s2013 d||| |||| 00||| eng d | ||
| 020 | |a 9781118506226 |9 978-1-118-50622-6 | ||
| 035 | |a (OCoLC)869853782 | ||
| 035 | |a (DE-599)BVBBV041435500 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
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| 100 | 1 | |a Jantzen, Jan |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Foundations of fuzzy control |b a practical approach |c Jan Jantzen |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Chichester |b Wiley |c 2013 | |
| 300 | |a XIX, 325 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Literaturverz. S. [315] - 318 | ||
| 650 | 4 | |a Automatic control | |
| 650 | 4 | |a Fuzzy systems | |
| 650 | 4 | |a Fuzzy automata | |
| 650 | 0 | 7 | |a Kontrollsystem |0 (DE-588)4126040-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Fuzzy-Regelung |0 (DE-588)4395755-9 |2 gnd |9 rswk-swf |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, MOBI |z 978-1-118-53557-8 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-1-118-53558-5 |
| 856 | 4 | 2 | |m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026882374&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
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Record in the Search Index
| _version_ | 1804151551438094336 |
|---|---|
| adam_text | Contents
Foreword
xiii
Preface to the Second Edition
xv
Preface to the First Edition
xvii
1
1
2
3
3
9
1!
12
13
17
17
18
19
21
22
24
25
25
28
30
33
35
36
36
36
39
41
43
1
Introduction
1.1
What Is Fuzzy Control?
1.2
Why Fuzzy Control?
1.3
Controller Design
1.4
Introductory Example: Stopping a Car
1.5
Nonlinear Control Systems
1.6
Summary
1.7
The Autopilot Simulator*
1.8
Notes and References*
2
Fuzzy Reasoning
2.1
Fuzzy Sets
2.7. /
Classical Sets
2.1.2
Fuzzy Sets
2.1.3
Universe
2.1.4
Membership Function
2.1.5
Possibility
2.2
Fuzzy Set Operations
2.2.1
Onion, Intersection, and Complement
2.2.2
Linguistic Variables
2.2.3
Relations
2.3
Fuzzy If-Then Rules
2.3.1
Several Rules
2.4
Fuzzy Logic
2.4.1
Truth-Values
2.4.2
Classical Connectives
2.4.3
Fuzzy Connectives
2.4.4
Triangular Norms
2.5
Summary
viii Contents
2.6
Theoretical Fuzzy Logic*
43
2.6. !
Tautologies
43
2.6.2
Fuzzv Implication
45
2.6.3
Rules of Inference
48
2.6.4
Generalized Modus Ponens
51
2.7
Notes and References*
53
3
Fuzzy Control
55
3.1
The Rule Based Controller
56
3.1.1
Rule Base Block
56
3.1.2
Inference Engine Block
58
3.2
The Sugeno Controller
61
3.3
Autopilot Example: Four Rules
64
3.4
Table Based Controller
65
3.5
Linear Fuzzy Controller
68
3.6
Summary
70
3.7
Other Controller Components*
70
3.7.
У
Controller Components
70
3.8
Other Rule Based Controllers*
77
3.8.1
The Mamdani Controller
77
3.8.2
The FLS Controller
79
3.9
Analytical Simplification of the Inference*
80
3.9.1
Four Rules
81
3.9.2
Nine Rules
82
3.10
Notes and References*
84
85
87
89
90
92
94
94
96
99
99
101
102
103
104
104
105
106
106
109
4
Linear Fuzzy
PID
Control
4.1
Fuzzy
Ρ
Controller
4.2
Fuzzy PD Controller
4.3
Fuzzy PD+I Controller
4.4
Fuzzy Incremental Controller
4.5
Tuning
4.5.1
Ziegler-Nichols Tuning
4.5.2
Hand-Tuning
4.5.3
Scaling
4.6
Simulation Example: Third-Order Process
4.7
Autopilot Example: Stable Equilibrium
4.7.1
Result
4.8
Summary
4.9
Derivative Spikes and Integrator Windup*
4.9.
J
Setpoint
Weighting
4.9.2
Filtered Derivative
4.9.3
Anti-Windup
4.10
PID
Loop Shaping*
4.11
Notes and References*
Contents ix
5
Nonlinear Fuzzy
PID
Control
111
5.1
Nonlinear Components 111
5.2
Phase Plot
113
5.3
Four Standard Control Surfaces
115
5.4
Fine-Tuning
118
5.4.1
Saturation in the Universes
119
5.4.2
Limit Cycle
119
5.4.3
Quantization
120
5.4.4
Noise
120
5.5
Example: Unstable Frictionless Vehicle
121
5.6
Example: Nonlinear Valve Compensator
124
5.7
Example: Motor Actuator with Limits
127
5.8
Autopilot Example: Regulating a Mass Load
127
5.9
Summary
130
5.10
Phase Plane Analysis*
130
5.10.1
Trajectory in the Phase Plane
1 31
5.
J
0.2
Equilibrium Point
132
5.
J
0.3
Stability
132
5.11
Geometric Interpretation of the PD Controller* 1
34
5.11.1
The Switching Line
137
5.1
Ì.
2
A Rule Base for Switching
140
5.12
Notes and References*
143
6
The Self-Organizing Controller
145
6.1
Model Reference Adaptive Systems
145
6.2
The Original
SOC
147
6.2.
1 Adaptation Law
148
6.3
A Modified
SOC
150
6.4
Example with a Long Deadtime
151
6.4.1
Tuning
151
6.4.2
Adaptation
153
6.4.3
Performance
153
6.5
Tuning and Time Lock
155
6.5.1
Tuning of the
SOC
Parameters
155
6.5.2
Time Lock
156
6.6
Summary
157
6.7
Example: Adaptive Control of a First-Order Process*
157
6.7.1
The MIT Rule
158
6.7.2
Choice of Control Law
159
6.7.3
Choice of Adaptation Law
159
6.7.4
Convergence
160
6.8
Analytical Derivation of the
SOC
Adaptation Law*
161
6.8.1
Reference Model
162
6.8.2
Adjustment Mechanism
162
6.8.3
The Fuzzy Controller
165
6.9
Notes and References*
169
Contents
7 Performance and Relative
Stability
171
7.1
Reference
Model 172
7.2 Performance
Measures
177
7.3 PID Tuning
from
Performance
Specifications
180
7.4
Gain Margin and Delay Margin
185
7.5 Test
of Four Difficult Processes
186
7.5. /
Higher-Order Process
186
7.5.2
Double Integrator Process
187
7.5.3
Process with a Long Time Delay
188
7.5.4
Process with Oscillatory Modes
188
7.6
The Nyquist Criterion for Stability
188
7.6.1
Absolute Stability
189
7.6.2
Relative Stability
190
7.7
Relative Stability of the Standard Control Surfaces 1
91
7.8
Summary
193
7.9
Describing Functions*
193
7.9.1
Static Nonlinearity
195
7.9.2
Limit Cycle
197
7.10
Frequency Responses of the FPD and FPD+I Controllers*
198
7.10. 1
FPD Frequency Response with a Linear Control Surface
200
7.10.2
FPD Frequency Response with Nonlinear Control Surfaces
201
7. 1 0.3
The Fuzzy PD+I Controller
203
7.10.4
Limit Cycle
204
7.11
Analytical Derivation of Describing Functions for the Standard Surfaces*
206
7.11.1
Saturation Surface
206
7.11.2
Deadzone Surface
209
7.11.3
Quantizer Surface
213
7.12
Notes and References*
216
8
Fuzzy Gain Scheduling Control
217
8.1
Point Designs and Interpolation
218
8.2
Fuzzy Gain Scheduling
219
8.3
Fuzzy Compensator Design
221
8.4
Autopilot Example: Stopping on a Hilltop
226
8.5
Summary
228
8.6
Case Study: the FLS Controller*
229
8.6.1
Cement Kiln Control
229
8.6.2
Ніф
-Level
Fuzzy Control
231
8.6.3
The FLS Design Procedure
233
8.7
Notes and References*
235
9
Fuzzy Models
237
9.1
Basis Function Architecture
238
9.2
Handmade Models
240
9.2.1
Approximating a Curve
240
9.2.2
Approximating a Surface
244
Contents________________________________________________________________ xi
9.3
Machine-Made
Models 249
9.3.
1 Least-Squares Line Fit
249
9.3.2
Least-Squares Basis Function Fit
250
9.4
Cluster Analysis
253
9.4.1
Mahalanobis Distance
253
9.4.2
Hard Clusters,
HCM
Algorithm
257
9.4.3
Fuzzy Clusters, FCM Algorithm
260
9.5
Training and Testing
263
9.6
Summary
266
9.7
Neuro-Fuzzy Models*
267
9.7.1
Neural Networks
267
9.7.2
Gradient Descent Algorithm
268
9.7.3
Adaptive Neuro-Fuzzy Inference System (ANFIS)
273
9.8
Notes and References*
275
10
Demonstration Examples
277
10.1
Hot Water Heater
277
10.1.1
fustal
I ing a Timer Switch
278
10.1.2
Fuzzy
Ρ
Controller
280
10.2
Temperature Control of a Tank Reactor
282
10.2.1
CSTR Model
283
10.2.2
Results and Discussion
285
10.3
Idle Speed Control of a Car Engine
287
10.3.1
Engine Model
287
10.3.2
Results and Discussion
288
10.4
Balancing a Ball on a Cart
292
10.4.
1 Mathematical Model
293
10.4.2
Step
1:
Design a Crisp PD Controller
297
10.4.3
Step
2:
Replace it with a Linear Fuzzy
300
10.4.4
Step
3:
Make it Nonlinear
300
10.4.5
Step
4:
Fine -Tune it
30!
10.5
Dynamic Model of a First-Order Process with a Nonlinearity
301
10.5.1
Supervised Model
302
10.5.2
Se
mi-Automatic
Identification
by a Modified
HCM
304
10.6
Summary
307
10.7
Further State-Space Analysis of the Cart-Ball System*
307
10.7.1
Nonlinear Equations
ЗІЗ
10.8
Notes and References*
314
References
315
Index
319
The
*
in the heading denotes that the section can be skipped on the first reading as it contains background material
catered for advanced readers of this book.
|
| any_adam_object | 1 |
| author | Jantzen, Jan |
| author_facet | Jantzen, Jan |
| author_role | aut |
| author_sort | Jantzen, Jan |
| author_variant | j j jj |
| building | Verbundindex |
| bvnumber | BV041435500 |
| classification_rvk | ST 301 ZQ 5240 |
| ctrlnum | (OCoLC)869853782 (DE-599)BVBBV041435500 |
| discipline | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV041435500 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:56:37Z |
| institution | BVB |
| isbn | 9781118506226 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026882374 |
| oclc_num | 869853782 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-83 DE-573 |
| owner_facet | DE-473 DE-BY-UBG DE-83 DE-573 |
| physical | XIX, 325 S. graph. Darst. |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Wiley |
| record_format | marc |
| spelling | Jantzen, Jan Verfasser aut Foundations of fuzzy control a practical approach Jan Jantzen 2. ed. Chichester Wiley 2013 XIX, 325 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. [315] - 318 Automatic control Fuzzy systems Fuzzy automata Kontrollsystem (DE-588)4126040-5 gnd rswk-swf Fuzzy-Regelung (DE-588)4395755-9 gnd rswk-swf Fuzzy-Regelsystem (DE-588)4728095-5 gnd rswk-swf Fuzzy-Regelsystem (DE-588)4728095-5 s Kontrollsystem (DE-588)4126040-5 s DE-604 Fuzzy-Regelung (DE-588)4395755-9 s Erscheint auch als Online-Ausgabe, EPUB 978-1-118-53559-2 Erscheint auch als Online-Ausgabe, MOBI 978-1-118-53557-8 Erscheint auch als Online-Ausgabe, PDF 978-1-118-53558-5 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026882374&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Jantzen, Jan Foundations of fuzzy control a practical approach Automatic control Fuzzy systems Fuzzy automata Kontrollsystem (DE-588)4126040-5 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd Fuzzy-Regelsystem (DE-588)4728095-5 gnd |
| subject_GND | (DE-588)4126040-5 (DE-588)4395755-9 (DE-588)4728095-5 |
| title | Foundations of fuzzy control a practical approach |
| title_auth | Foundations of fuzzy control a practical approach |
| title_exact_search | Foundations of fuzzy control a practical approach |
| title_full | Foundations of fuzzy control a practical approach Jan Jantzen |
| title_fullStr | Foundations of fuzzy control a practical approach Jan Jantzen |
| title_full_unstemmed | Foundations of fuzzy control a practical approach Jan Jantzen |
| title_short | Foundations of fuzzy control |
| title_sort | foundations of fuzzy control a practical approach |
| title_sub | a practical approach |
| topic | Automatic control Fuzzy systems Fuzzy automata Kontrollsystem (DE-588)4126040-5 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd Fuzzy-Regelsystem (DE-588)4728095-5 gnd |
| topic_facet | Automatic control Fuzzy systems Fuzzy automata Kontrollsystem Fuzzy-Regelung Fuzzy-Regelsystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026882374&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT jantzenjan foundationsoffuzzycontrolapracticalapproach |