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Iterative Learning Control for Deterministic Systems (Paperback, Softcover reprint of the original 1st ed. 1993)
Loot Price: R1,518
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Iterative Learning Control for Deterministic Systems (Paperback, Softcover reprint of the original 1st ed. 1993)
Series: Advances in Industrial Control
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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.
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