Iterative Learning Control

This book PDF is perfect for those who love Technology & Engineering genre, written by David H. Owens and published by Springer which was released on 31 October 2015 with total hardcover pages 456. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Iterative Learning Control books below.

Iterative Learning Control
Author : David H. Owens
File Size : 50,9 Mb
Publisher : Springer
Language : English
Release Date : 31 October 2015
ISBN : 9781447167723
Pages : 456 pages
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Iterative Learning Control by David H. Owens Book PDF Summary

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

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

Get Book
Machine Learning Control     Taming Nonlinear Dynamics and Turbulence

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of

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Control Systems and Reinforcement Learning

A how-to guide and scientific tutorial covering the universe of reinforcement learning and control theory for online decision making.

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Iterative Learning Control for Deterministic Systems

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

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Data Driven Iterative Learning Control for Discrete Time Systems

This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of

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Iterative Learning Control for Network Systems Under Constrained Information Communication

Download or read online Iterative Learning Control for Network Systems Under Constrained Information Communication written by Wenjun Xiong, published by Springer Nature which was released on . Get Iterative Learning Control for Network Systems Under Constrained Information Communication Books now! Available in PDF, ePub and Kindle.

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Iterative Learning Control for Multi agent Systems Coordination

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

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Iterative Learning Control over Random Fading Channels

Random fading communication is a type of attenuation damage of data over certain propagation media. Establishing a systematic framework for the design and analysis of learning control schemes, the book studies in depth the iterative learning control for stochastic systems with random fading communication. The authors introduce both cases where

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