Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation
Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation

Author: Danwei Wang

Publisher: Springer

Published: 2014-06-19

Total Pages: 232

ISBN-13: 9814585602

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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.

Iterative Learning Control
Iterative Learning Control

Author: David H. Owens

Publisher: Springer

Published: 2015-10-31

Total Pages: 473

ISBN-13: 1447167724

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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
Iterative Learning Control for Multi-agent Systems Coordination

Author: Shiping Yang

Publisher: John Wiley & Sons

Published: 2017-03-03

Total Pages: 260

ISBN-13: 1119189063

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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
Filtered Repetitive Control with Nonlinear Systems

Author: Quan Quan

Publisher: Springer Nature

Published: 2019-11-22

Total Pages: 227

ISBN-13: 9811514542

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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.

Discrete-Time Control System Design with Applications
Discrete-Time Control System Design with Applications

Author: C.A. Rabbath

Publisher: Springer Science & Business Media

Published: 2013-12-02

Total Pages: 181

ISBN-13: 1461492904

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This unique book provides a bridge between digital control theory and vehicle guidance and control practice. It presents practical techniques of digital redesign and direct discrete-time design suitable for a real-time implementation of controllers and guidance laws at multiple rates and with and computational techniques. The theory of digital control is given as theorems, lemmas, and propositions. The design of the digital guidance and control systems is illustrated by means of step-by-step procedures, algorithms, and case studies. The systems proposed are applied to realistic models of unmanned systems and missiles, and digital implementation.

Robot Control 1991 (SYROCO'91)
Robot Control 1991 (SYROCO'91)

Author: I. Troch

Publisher: Elsevier

Published: 2014-05-23

Total Pages: 583

ISBN-13: 1483298787

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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.

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)

Author: IEEE Staff

Publisher:

Published: 2019-05-24

Total Pages:

ISBN-13: 9781728114552

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Data driven control and learning has been developed quickly both in theory and applications recently The deep involvement of information science in practical processes poses enormous challenges to the existing control science and engineering due to their size, distributed nature and complexity Modeling these processes accurately using first principles or identification is almost impossible although these plants produce huge amount of operation data in every moment The high tech hardware software and the cloud computing enable us to perform complex real time computation, which makes implementation of data driven control and method for these complex practical plants possible It would be very significant if we can learn the systems behaviors, discover the relationship of system variables by making full use of on line or off line process data, to directly design controller, predict and assess system states, make decisions, perform real time optimization and conduct fault diagnosis

Run-to-Run Control in Semiconductor Manufacturing
Run-to-Run Control in Semiconductor Manufacturing

Author: James Moyne

Publisher: CRC Press

Published: 2018-10-08

Total Pages: 368

ISBN-13: 1420040669

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Run-to-run (R2R) control is cutting-edge technology that allows modification of a product recipe between machine "runs," thereby minimizing process drift, shift, and variability-and with them, costs. Its effectiveness has been demonstrated in a variety of processes, such as vapor phase epitaxy, lithography, and chemical mechanical planarization. The only barrier to the semiconductor industry's widespread adoption of this highly effective process control is a lack of understanding of the technology. Run to Run Control in Semiconductor Manufacturing overcomes that barrier by offering in-depth analyses of R2R control.

RF Linear Accelerators
RF Linear Accelerators

Author: Thomas P. Wangler

Publisher: John Wiley & Sons

Published: 2008-03-03

Total Pages: 476

ISBN-13: 9783527406807

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Dieses einschlägige Lehrbuch, entwickelt auf der Grundlage der Ausbildung an der US Particle Accelerator School, schließt eine Lücke in der verfügbaren Literatur zum Thema Hochfrequenz-Linearbeschleuniger, kurz RF-Linac. Nach einer Erläuterung der naturwissenschaftlichen Grundlagen und der neuesten technologischen Eckdaten stellt diese zweite Auflage neueste RF-Linacs, spezialisierte Systeme, Systeme mit Supraleitern und verschiedene Spezialverfahren vor. Übungsaufgaben an den Kapitelenden erleichtern das Einprägen und das Nacharbeiten von Vorlesungen.