Iterative learning control: an optimization paradigm
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer
[2016]
|
| Schriftenreihe: | Advances in industrial control
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online Ressource (xxviii, 456 p) |
| ISBN: | 9781447167723 |
| DOI: | 10.1007/978-1-4471-6772-3 |
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Datensatz im Suchindex
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| adam_text | ITERATIVE LEARNING CONTROL
/ OWENS, DAVID H.
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
ITERATIVE LEARNING CONTROL: BACKGROUND AND REVIEW. MATHEMATICAL AND
LINEAR MODELLING METHODOLOGIES
NORM OPTIMAL ITERATIVE LEARNING CONTROL: AN OPTIMAL CONTROL PERSPECTIVE
PREDICTING THE EFFECTS OF NON-MINIMUM-PHASE ZEROS
PREDICTIVE NORM OPTIMAL ITERATIVE LEARNING CONTROL
OTHER APPLICATIONS OF NORM OPTIMAL ITERATIVE LEARNING CONTROL
SUCCESSIVE PROJECTION ALGORITHMS
PARAMETER OPTIMAL ITERATIVE LEARNING CONTROL
ROBUSTNESS OF PARAMETER OPTIMAL ITERATIVE LEARNING CONTROL
MULTI-PARAMETER OPTIMAL ITERATIVE LEARNING CONTROL
NO NORMAL 0 FALSE FALSE FALSE EN-GB X-NONE X-NONE /* STYLE DEFINITIONS
*/ TABLE.MSONORMALTABLE {MSO-STYLE-NAME: TABLE NORMAL ;
MSO-TSTYLE-ROWBAND-SIZE:0; MSO-TSTYLE-COLBAND-SIZE:0;
MSO-STYLE-NOSHOW:YES; MSO-STYLE-PRIORITY:99; MSO-STYLE-PARENT: ;
MSO-PADDING-ALT:0CM 5.4PT 0CM 5.4PT; MSO-PARA-MARGIN-TOP:0CM;
MSO-PARA-MARGIN-RIGHT:0CM; MSO-PARA-MARGIN-BOTTOM:10.0PT;
MSO-PARA-MARGIN-LEFT:0CM; LINE-HEIGHT:115%; MSO-PAGINATION:WIDOW-ORPHAN;
FONT-SIZE:11.0PT; FONT-FAMILY: CALIBRI , SANS-SERIF ;
MSO-ASCII-FONT-FAMILY:CALIBRI; MSO-ASCII-THEME-FONT:MINOR-LATIN;
MSO-HANSI-FONT-FAMILY:CALIBRI; MSO-HANSI-THEME-FONT:MINOR-LATIN;
MSO-FAREAST-LANGUAGE:EN-US;} NLINEAR ITERATIVE LEARNING CONTROL AND
OPTIMIZATION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
ITERATIVE LEARNING CONTROL
/ OWENS, DAVID H.
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK DEVELOPS A COHERENT THEORETICAL APPROACH TO ALGORITHM DESIGN
FOR ITERATIVE LEARNING CONTROL BASED ON THE USE OF OPTIMIZATION
CONCEPTS. CONCENTRATING INITIALLY ON LINEAR, DISCRETE-TIME SYSTEMS, THE
AUTHOR GIVES THE READER ACCESS TO THEORIES BASED ON EITHER SIGNAL OR
PARAMETER OPTIMIZATION. ALTHOUGH THE TWO APPROACHES ARE SHOWN TO BE
RELATED IN A FORMAL MATHEMATICAL SENSE, THE TEXT PRESENTS THEM
SEPARATELY BECAUSE THEIR RELEVANT ALGORITHM DESIGN ISSUES ARE DISTINCT
AND GIVE RISE TO DIFFERENT PERFORMANCE CAPABILITIES. TOGETHER WITH
ALGORITHM DESIGN, THE TEXT DEMONSTRATES THAT THERE ARE NEW ALGORITHMS
THAT ARE CAPABLE OF INCORPORATING INPUT AND OUTPUT CONSTRAINTS, ENABLE
THE ALGORITHM TO RECONFIGURE SYSTEMATICALLY IN ORDER TO MEET THE
REQUIREMENTS OF DIFFERENT REFERENCE SIGNALS AND ALSO TO SUPPORT NEW
ALGORITHMS FOR LOCAL CONVERGENCE OF NONLINEAR ITERATIVE CONTROL.
SIMULATION AND APPLICATION STUDIES ARE USED TO ILLUSTRATE ALGORITHM
PROPERTIES AND PERFORMANCE IN SYSTEMS LIKE GANTRY ROBOTS AND OTHER
ELECTROMECHANICAL AND/OR MECHANICAL SYSTEMS. ITERATIVE LEARNING CONTROL
WILL INTEREST ACADEMICS AND GRADUATE STUDENTS WORKING IN CONTROL WHO
WILL FIND IT A USEFUL REFERENCE TO THE CURRENT STATUS OF A POWERFUL AND
INCREASINGLY POPULAR METHOD OF CONTROL. THE DEPTH OF BACKGROUND THEORY
AND LINKS TO PRACTICAL SYSTEMS WILL BE OF USE TO ENGINEERS RESPONSIBLE
FOR PRECISION REPETITIVE PROCESSES. ADVANCES IN INDUSTRIAL CONTROL AIMS
TO REPORT AND ENCOURAGE THE TRANSFER OF TECHNOLOGY IN CONTROL
ENGINEERING. THE RAPID DEVELOPMENT OF CONTROL TECHNOLOGY HAS AN IMPACT
ON ALL AREAS OF THE CONTROL DISCIPLINE. THE SERIES OFFERS AN OPPORTUNITY
FOR RESEARCHERS TO PRESENT AN EXTENDED EXPOSITION OF NEW WORK IN ALL
ASPECTS OF INDUSTRIAL CONTROL
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Owens, David H. |
| author_facet | Owens, David H. |
| author_role | aut |
| author_sort | Owens, David H. |
| author_variant | d h o dh dho |
| building | Verbundindex |
| bvnumber | BV043211989 |
| classification_rvk | SK 880 ZQ 5260 |
| collection | ZDB-2-ENG |
| ctrlnum | (OCoLC)932024978 (DE-599)BVBBV043211989 |
| 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 | Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-1-4471-6772-3 |
| format | Electronic eBook |
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| id | DE-604.BV043211989 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:12:20Z |
| institution | BVB |
| isbn | 9781447167723 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028635127 |
| oclc_num | 932024978 |
| open_access_boolean | |
| owner | DE-1043 DE-Aug4 DE-573 DE-859 DE-863 DE-BY-FWS DE-92 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-634 DE-1046 DE-861 DE-706 |
| owner_facet | DE-1043 DE-Aug4 DE-573 DE-859 DE-863 DE-BY-FWS DE-92 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-634 DE-1046 DE-861 DE-706 |
| physical | 1 Online Ressource (xxviii, 456 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2016 |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series2 | Advances in industrial control |
| spellingShingle | Owens, David H. Iterative learning control an optimization paradigm Engineering Artificial intelligence System theory Machinery Control engineering Robotics Automation Control Systems Theory, Control Artificial Intelligence (incl. Robotics) Machinery and Machine Elements Robotics and Automation Ingenieurwissenschaften Künstliche Intelligenz Regelungstechnik (DE-588)4076594-5 gnd Automation (DE-588)4003957-2 gnd Robotik (DE-588)4261462-4 gnd Systemtheorie (DE-588)4058812-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4076594-5 (DE-588)4003957-2 (DE-588)4261462-4 (DE-588)4058812-9 (DE-588)4033447-8 |
| title | Iterative learning control an optimization paradigm |
| title_auth | Iterative learning control an optimization paradigm |
| title_exact_search | Iterative learning control an optimization paradigm |
| title_full | Iterative learning control an optimization paradigm David H. Owens |
| title_fullStr | Iterative learning control an optimization paradigm David H. Owens |
| title_full_unstemmed | Iterative learning control an optimization paradigm David H. Owens |
| title_short | Iterative learning control |
| title_sort | iterative learning control an optimization paradigm |
| title_sub | an optimization paradigm |
| topic | Engineering Artificial intelligence System theory Machinery Control engineering Robotics Automation Control Systems Theory, Control Artificial Intelligence (incl. Robotics) Machinery and Machine Elements Robotics and Automation Ingenieurwissenschaften Künstliche Intelligenz Regelungstechnik (DE-588)4076594-5 gnd Automation (DE-588)4003957-2 gnd Robotik (DE-588)4261462-4 gnd Systemtheorie (DE-588)4058812-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Engineering Artificial intelligence System theory Machinery Control engineering Robotics Automation Control Systems Theory, Control Artificial Intelligence (incl. Robotics) Machinery and Machine Elements Robotics and Automation Ingenieurwissenschaften Künstliche Intelligenz Regelungstechnik Robotik Systemtheorie |
| url | https://doi.org/10.1007/978-1-4471-6772-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028635127&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028635127&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT owensdavidh iterativelearningcontrolanoptimizationparadigm |