Practical Iterative Learning Control With Frequency Domain Design And Sampled Data Implementation
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Practical Iterative Learning Control With Frequency Domain Design And Sampled Data Implementation
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Author : Danwei Wang
language : en
Publisher:
Release Date : 2014-07-31
Practical Iterative Learning Control With Frequency Domain Design And Sampled Data Implementation written by Danwei Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-31 with categories.
Practical Iterative Learning Control With Frequency Domain Design And Sampled Data Implementation
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Author : Danwei Wang
language : en
Publisher: Springer
Release Date : 2014-06-19
Practical Iterative Learning Control With Frequency Domain Design And Sampled Data Implementation written by Danwei Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-19 with Technology & Engineering categories.
This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.
Variable Gain Design In Stochastic Iterative Learning Control
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Author : Dong Shen
language : en
Publisher: Springer Nature
Release Date : 2025-01-02
Variable Gain Design In Stochastic Iterative Learning Control written by Dong Shen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Technology & Engineering categories.
This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control.
Iterative Learning Control
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Author : David H. Owens
language : en
Publisher: Springer
Release Date : 2015-10-31
Iterative Learning Control written by David H. Owens and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-31 with Technology & Engineering categories.
This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design. Using detailed examples taken from linear, discrete and continuous-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 as their relevant algorithm design issues are distinct and give rise to different performance capabilities. Together with algorithm design, the text demonstrates the underlying robustness of the paradigm and also includes new control laws that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference and auxiliary signals and also to support new properties such as spectral annihilation. 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.
Iterative Learning Control For Multi Agent Systems Coordination
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Author : Shiping Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2017-03-03
Iterative Learning Control For Multi Agent Systems Coordination written by Shiping Yang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-03 with Technology & Engineering categories.
A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice
Filtered Repetitive Control With Nonlinear Systems
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Author : Quan Quan
language : en
Publisher: Springer Nature
Release Date : 2019-11-22
Filtered Repetitive Control With Nonlinear Systems written by Quan Quan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-22 with Technology & Engineering categories.
Though there have been significant advances in the theory and applications of linear time-invariant systems, developments regarding repetitive control have been sporadic. At the same time, there is a dearth of literature on repetitive control (RC) for nonlinear systems. Addressing that gap, this book discusses a range of basic methods for solving RC problems in nonlinear systems, including two commonly used methods and three original ones. Providing valuable tools for researchers working on the development of repetitive control, these new and fundamental methods are one of the major features of the book, which will benefit researchers, engineers, and graduate students in e.g. the field of control theory.
Practical Iterative Learning Control With Frequency Domain Design And Sampled Data
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Author :
language : en
Publisher:
Release Date :
Practical Iterative Learning Control With Frequency Domain Design And Sampled Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Elektrische Antriebe Regelung Von Antriebssystemen
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Author : Dierk Schröder
language : de
Publisher: Springer
Release Date : 2015-11-30
Elektrische Antriebe Regelung Von Antriebssystemen written by Dierk Schröder and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-30 with Technology & Engineering categories.
Elektrische Antriebe - Regelung von Antriebssystemen ist Teil eines fünfbändigen Lehr- und Nachschlagewerkes. Die bewährte Struktur mit der Dreiteilung regelungstechnische Grundlagen, Regelung der elektrischen Maschinen und Regelung der elektrischen Antriebe in unterschiedlichsten Anwendungen bleibt erhalten. In der 4. Auflage wurden Anpassungen an den Stand der Technik sowie folgende Erweiterungen vorgenommen: Vergleich und Literatur-Übersicht von Statorstrom-Regelungen unter Beachtung der Überkreuzkopplungen, der Kompensation der Gegenspannungen und der Polverschiebungen, Resonanter P-Regler, Kaskadierte Zustandsregelung, Polfesselung, Die Regelung von Drehfeldmaschinen ohne Drehzahlsensor wurde um die Realisierungen mittels Injektion von „höherfrequenten“ Identifikationssignalen und um eine Übersicht über konstruktive Maßnahmen zur Verbesserung bzw.dem Erzielen der Anisotrophie erweitert, Die Regelung von technologischen Systemen wurde um die Regelung von Rollendruckmaschinen ergänzt, Es folgen zwei neue Kapitel zu Aufbau, Modellbildung und Regelung sowie zu den zukünftigen Anforderungen an Windkraftwerke, Im Kapitel Proper Orthogonal Decomposition - POD - wird die Reduzierung der Ordnung und die Optimalsteuerung, von linearen - aber auch nichtlinearen - Systemen sehr hoher Ordnung vorgestellt, Weitere Ergänzungen erfolgen mit den Kapiteln instabile Diskretisierungs-Nullstellen, Lund-Grenoble-Reibungsmodell und Vermeidung von Sensor-Übersteuerung.
Practical Iterative Learning Control
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Author : Benjamin Thomas Fine
language : en
Publisher:
Release Date : 2009
Practical Iterative Learning Control written by Benjamin Thomas Fine and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Robot Control 1991 Syroco 91
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Author : I. Troch
language : en
Publisher: Elsevier
Release Date : 2014-05-23
Robot Control 1991 Syroco 91 written by I. Troch and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
This volume contains 92 papers on the state-of-the-art in robotics research. In this volume topics on modelling and identification are treated first as they build the basis for practically all control aspects. Then, the most basic control tasks are discussed i.e. problems of inverse kinematics. Groups of papers follow which deal with various advanced control aspects. They range from rather general methods to more specialized topics such as force control and control of hydraulic robots. The problem of path planning is addressed and strategies for robots with one arm, for mobile robots and for multiple arm robots are presented. Also covered are computational improvements and software tools for simulation and control, the integration of sensors and sensor signals in robot control.