Iterative Learning Control for Deterministic Systems:
Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of lea...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Springer London
1993
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| Schriftenreihe: | Advances in Industrial Control
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| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4471-1912-8 https://doi.org/10.1007/978-1-4471-1912-8 |
| Zusammenfassung: | Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks |
| Umfang: | 1 Online-Ressource (XVI, 152 p) |
| ISBN: | 9781447119128 |
| DOI: | 10.1007/978-1-4471-1912-8 |
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Datensatz im Suchindex
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| author | Moore, Kevin L. |
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| discipline | Werkstoffwissenschaften / Fertigungstechnik |
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| id | DE-604.BV045184994 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:20:08Z |
| institution | BVB |
| isbn | 9781447119128 |
| language | English |
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| physical | 1 Online-Ressource (XVI, 152 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1993 |
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| publisher | Springer London |
| record_format | marc |
| series2 | Advances in Industrial Control |
| spelling | Moore, Kevin L. Verfasser aut Iterative Learning Control for Deterministic Systems by Kevin L. Moore London Springer London 1993 1 Online-Ressource (XVI, 152 p) txt rdacontent c rdamedia cr rdacarrier Advances in Industrial Control Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks Engineering Manufacturing, Machines, Tools Control, Robotics, Mechatronics Engineering Economics, Organization, Logistics, Marketing Computer-Aided Engineering (CAD, CAE) and Design Computer-aided engineering Control engineering Robotics Mechatronics Engineering economics Engineering economy Manufacturing industries Machines Tools Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Lernendes System (DE-588)4120666-6 gnd rswk-swf Regelung (DE-588)4048971-1 gnd rswk-swf Regelung (DE-588)4048971-1 s Lernendes System (DE-588)4120666-6 s Neuronales Netz (DE-588)4226127-2 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781447119142 https://doi.org/10.1007/978-1-4471-1912-8 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Moore, Kevin L. Iterative Learning Control for Deterministic Systems Engineering Manufacturing, Machines, Tools Control, Robotics, Mechatronics Engineering Economics, Organization, Logistics, Marketing Computer-Aided Engineering (CAD, CAE) and Design Computer-aided engineering Control engineering Robotics Mechatronics Engineering economics Engineering economy Manufacturing industries Machines Tools Neuronales Netz (DE-588)4226127-2 gnd Lernendes System (DE-588)4120666-6 gnd Regelung (DE-588)4048971-1 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4120666-6 (DE-588)4048971-1 |
| title | Iterative Learning Control for Deterministic Systems |
| title_auth | Iterative Learning Control for Deterministic Systems |
| title_exact_search | Iterative Learning Control for Deterministic Systems |
| title_full | Iterative Learning Control for Deterministic Systems by Kevin L. Moore |
| title_fullStr | Iterative Learning Control for Deterministic Systems by Kevin L. Moore |
| title_full_unstemmed | Iterative Learning Control for Deterministic Systems by Kevin L. Moore |
| title_short | Iterative Learning Control for Deterministic Systems |
| title_sort | iterative learning control for deterministic systems |
| topic | Engineering Manufacturing, Machines, Tools Control, Robotics, Mechatronics Engineering Economics, Organization, Logistics, Marketing Computer-Aided Engineering (CAD, CAE) and Design Computer-aided engineering Control engineering Robotics Mechatronics Engineering economics Engineering economy Manufacturing industries Machines Tools Neuronales Netz (DE-588)4226127-2 gnd Lernendes System (DE-588)4120666-6 gnd Regelung (DE-588)4048971-1 gnd |
| topic_facet | Engineering Manufacturing, Machines, Tools Control, Robotics, Mechatronics Engineering Economics, Organization, Logistics, Marketing Computer-Aided Engineering (CAD, CAE) and Design Computer-aided engineering Control engineering Robotics Mechatronics Engineering economics Engineering economy Manufacturing industries Machines Tools Neuronales Netz Lernendes System Regelung |
| url | https://doi.org/10.1007/978-1-4471-1912-8 |
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