Analytical methods in fuzzy modeling and control:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin ; Heidelberg
Springer
2009
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Schriftenreihe: | Studies in fuzziness and soft computing
241 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Literaturverz. S. 237 - 248 |
Beschreibung: | XXVI, 251 S. graph. Darst. |
ISBN: | 9783540899266 |
Internformat
MARC
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100 | 1 | |a Kluska, Jacek |e Verfasser |4 aut | |
245 | 1 | 0 | |a Analytical methods in fuzzy modeling and control |c Jacek Kluska |
264 | 1 | |a Berlin ; Heidelberg |b Springer |c 2009 | |
300 | |a XXVI, 251 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Studies in fuzziness and soft computing |v 241 | |
500 | |a Literaturverz. S. 237 - 248 | ||
650 | 4 | |a Fuzzy-Regelsystem - Mathematische Modellierung | |
650 | 4 | |a Automatic control | |
650 | 4 | |a Fuzzy systems | |
650 | 4 | |a Mathematical analysis | |
650 | 0 | 7 | |a Fuzzy-Regelsystem |0 (DE-588)4728095-5 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
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adam_text | CONTENTS 1 INTRODUCTION 1 2 MISO TAKAGI-SUGENO FUZZY SYSTEM WITH LINEAR
MEMBERSHIP FUNCTIONS 3 2.1 PERFECT APPROXIMATION OF NONLINEAR FUNCTIONS
USING THE SIMPLEST TAKAGI-SUGENO MODEL 3 2.2 ASSUMPTIONS AND LINGUISTIC
INTERPRETATION OF LINEAR MEMBERSHIP FUNCTIONS 7 2.3 COMPACT DESCRIPTION
OF THE MISO TS SYSTEM 9 2.4 CRISP OUTPUT OF THE ZERO-ORDER MISO PL-TS
SYSTEM 11 2.5 COMPLETENESS AND NONCONTRADICTION IN RULE-BASED SYSTEMS
DEFINED BY METARULES 16 2.6 MATRIX DESCRIPTION OF THE MIMO FUZZY
RULE-BASED SYSTEM 18 2.7 EQUIVALENCE PROBLEM IN THE RULE-BASED SYSTEMS
20 2.8 SUMMARY 23 3 RECURSION IN TS SYSTEMS WITH TWO FUZZY SETS FOR
EVERY INPUT 25 3.1 SOME FEATURES OF THE FUNDAMENTAL MATRIX AND ITS
INVERSE 25 3.2 THEOREM ON RECURSION FOR PL-TS SYSTEMS 27 3.2.1 RULE-BASE
DECOMPOSITION 28 3.2.2 CRISP OUTPUT CALCULATION FOR PL-TS SYSTEM USING
RECURSION 29 3.3 RECURSION IN MORE GENERAL TS SYSTEMS WITH TWO FUZZY
SETS FOR EVERY INPUT 31 3.4 MIMO TS SYSTEMS WITH INFERENCE CONCERNING
THE STRUCTURE PARAMETERS 38 3.5 BOUNDEDNESS OF PL-TS SYSTEMS 57 3.6
SUMMARY 58 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/991137558
DIGITALISIERT DURCH XVIII CONTENTS 4 FUZZY RULE-BASED SYSTEMS WITH
POLYNOMIAL MEMBERSHIP FUNCTIONS 61 4.1 TS SYSTEMS WITH TWO POLYNOMIAL
MEMBERSHIP FUNCTIONS FOR EVERY INPUT 62 4.2 THE NORMALIZED MEMBERSHIP
FUNCTIONS FOR P2-TS SYSTEMS 64 4.3 SISO P2-TS SYSTEM 66 4.4 P2-TS SYSTEM
WITH TWO AND MORE INPUTS 69 4.4.1 RULE-BASE STRUCTURE FOR
TWO-INPUTS-ONE-OUTPUT P2-TS SYSTEM 71 4.4.2 RULE-BASE STRUCTURE FOR
THREE-INPUTS-ONE-OUTPUT P2-TS SYSTEM 72 4.5 THE FUNDAMENTAL MATRIX FOR
MISO P2-TS SYSTEM 73 4.6 RECURSION IN MISO P2-TS SYSTEMS 83 4.6.1
RULE-BASE DECOMPOSITION 84 4.6.2 CRISP OUTPUT CALCULATION FOR P2-TS
SYSTEM USING RECURSION 86 4.7 RECURSION IN MORE GENERAL TS SYSTEMS WITH
THREE FUZZY SETS FOR EVERY INPUT 96 4.8 SUMMARY 99 5 COMPREHENSIVE STUDY
AND APPLICATIONS OF PL-TS SYSTEMS 101 5.1 PL-TS SYSTEMS WITH TWO INPUTS
102 5.1.1 GENERAL CASE 102 5.1.2 A SIMPLE CONTROLLER DESIGN FOR A MILK
OF LIME BLENDING TANK 103 5.1.3 PL-TS SYSTEMS WITH INPUTS AND OUTPUTS
FROM THE UNITY INTERVAL 107 5.2 PL-TS FUZZY SYSTEMS WITH THREE INPUTS
110 5.2.1 GENERAL CASE 110 5.2.2 EXAMPLES OF HIGHLY INTERPRETABLE PL-TS
SYSTEMS WITH THREE INPUTS 111 5.3 EXAMPLES OF PL-TS SYSTEMS WITH FOUR
AND MORE INPUTS .... 121 5.3.1 LOW ORDER ATMOSPHERIC CIRCULATION MODEL
129 5.3. CONTENTS XIX 5.5 PL-TS SYSTEM AS CONTROLLER WITH VARIABLE GAINS
148 5.6 EXACT MODELING OF SINGLE-INPUT DYNAMICAL SYSTEMS 151 5.7 EXACT
MODELING OF MIMO LINEAR DYNAMICAL SYSTEMS 160 5.8 STRONG TRIANGULAER
FUZZY PARTITION 164 5.9 LINEARITY CONDITION FOR PL-TS SYSTEMS 174 5.10
THE FIRST-ORDER PL-TS SYSTEMS 175 5.11 ZERO-ORDER TS SYSTEM WITH
CONTRADICTORY RULE-BASE 177 5.12 SUMMARY 179 6 MODELING OF MULTILINEAR
DYNAMICAL SYSTEMS FROM EXPERIMENTAL DATA 183 6.1 PROBLEM STATEMENT 183
6.2 PROBLEM SOLUTION 184 6.3 ANALYTICAL SOLUTION FOR DYNAMICAL SYSTEMS
WITH TWO VARIABLES 188 6.4 ESTIMATION OF PL-TS MODEL BY RECURSIVE LEAST
SQUARES .... 195 6.5 SUMMARY 196 7 BINARY CLASSIFICATION USING PL-TS
RULE SCHEME 199 7.1 PROBLEM DESCRIPTION 200 7.2 THE FUZZY RULES WITH
PROXIMITY DEGREES 202 7.3 BINARY CLASSIFIER EQUATION 203 7.4 PL-TS
SYSTEM WITH SIMILARITY DEGREES AS OPTIMAL BINARY CLASSIFIER 210 7.5 THE
REGULARIZATION ALGORITHM AND SUPPORT VECTOR MACHINES 213 7.6 SUMMARY 215
A KRONECKER PRODUCT OF MATRICES 21 B GENERATORS AND FUNDAMENTAL MATRICES
FOR PL-TS SYSTEMS 219 B.L FORMULAS FOR N = 1 219 B.L.L VERTICES OF THE
INTERVAL D 1 = [-QI. A] 219 B.1. XX CONTENTS B.4 FORMULAS FOR N = 4 222
B.4.1 VERTICES OF THE HYPERCUBOID D 4 = [-Q!, SS X ] X ... X {-A 4 , 0A]
222 B.4.2 GENERATOR 223 B.4.3 FUNDAMENTAL MATRIX AND ITS INVERSE 223 C
PROOFS OF THEOREMS, REMARKS AND ALGORITHMS 231 C.L PROOF OF REMARK 3.2
231 C.2 PROOF OF REMARK 3.3 232 C.3 PROOF OF COROLLARY 5.27 233 C.4
PROOF OF RLS ALGORITHM FRORN SECTION 6.4 234 REFERENCES 237 INDEX 249
|
any_adam_object | 1 |
author | Kluska, Jacek |
author_facet | Kluska, Jacek |
author_role | aut |
author_sort | Kluska, Jacek |
author_variant | j k jk |
building | Verbundindex |
bvnumber | BV035564332 |
callnumber-first | T - Technology |
callnumber-label | TJ213 |
callnumber-raw | TJ213 |
callnumber-search | TJ213 |
callnumber-sort | TJ 3213 |
callnumber-subject | TJ - Mechanical Engineering and Machinery |
classification_rvk | ST 301 |
ctrlnum | (OCoLC)305125530 (DE-599)DNB991137558 |
dewey-full | 629.8 511.313 |
dewey-hundreds | 600 - Technology (Applied sciences) 500 - Natural sciences and mathematics |
dewey-ones | 629 - Other branches of engineering 511 - General principles of mathematics |
dewey-raw | 629.8 511.313 |
dewey-search | 629.8 511.313 |
dewey-sort | 3629.8 |
dewey-tens | 620 - Engineering and allied operations 510 - Mathematics |
discipline | Informatik Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
format | Book |
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illustrated | Illustrated |
indexdate | 2024-07-09T21:40:32Z |
institution | BVB |
isbn | 9783540899266 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017620010 |
oclc_num | 305125530 |
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owner | DE-703 |
owner_facet | DE-703 |
physical | XXVI, 251 S. graph. Darst. |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Springer |
record_format | marc |
series | Studies in fuzziness and soft computing |
series2 | Studies in fuzziness and soft computing |
spelling | Kluska, Jacek Verfasser aut Analytical methods in fuzzy modeling and control Jacek Kluska Berlin ; Heidelberg Springer 2009 XXVI, 251 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in fuzziness and soft computing 241 Literaturverz. S. 237 - 248 Fuzzy-Regelsystem - Mathematische Modellierung Automatic control Fuzzy systems Mathematical analysis Fuzzy-Regelsystem (DE-588)4728095-5 gnd rswk-swf Mathematische Modellierung (DE-588)7651795-0 gnd rswk-swf Fuzzy-Regelsystem (DE-588)4728095-5 s Mathematische Modellierung (DE-588)7651795-0 s DE-604 Studies in fuzziness and soft computing 241 (DE-604)BV021858135 241 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017620010&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Kluska, Jacek Analytical methods in fuzzy modeling and control Studies in fuzziness and soft computing Fuzzy-Regelsystem - Mathematische Modellierung Automatic control Fuzzy systems Mathematical analysis Fuzzy-Regelsystem (DE-588)4728095-5 gnd Mathematische Modellierung (DE-588)7651795-0 gnd |
subject_GND | (DE-588)4728095-5 (DE-588)7651795-0 |
title | Analytical methods in fuzzy modeling and control |
title_auth | Analytical methods in fuzzy modeling and control |
title_exact_search | Analytical methods in fuzzy modeling and control |
title_full | Analytical methods in fuzzy modeling and control Jacek Kluska |
title_fullStr | Analytical methods in fuzzy modeling and control Jacek Kluska |
title_full_unstemmed | Analytical methods in fuzzy modeling and control Jacek Kluska |
title_short | Analytical methods in fuzzy modeling and control |
title_sort | analytical methods in fuzzy modeling and control |
topic | Fuzzy-Regelsystem - Mathematische Modellierung Automatic control Fuzzy systems Mathematical analysis Fuzzy-Regelsystem (DE-588)4728095-5 gnd Mathematische Modellierung (DE-588)7651795-0 gnd |
topic_facet | Fuzzy-Regelsystem - Mathematische Modellierung Automatic control Fuzzy systems Mathematical analysis Fuzzy-Regelsystem Mathematische Modellierung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017620010&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV021858135 |
work_keys_str_mv | AT kluskajacek analyticalmethodsinfuzzymodelingandcontrol |