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Iterative Learning Control

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Cover of 'Iterative Learning Control'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Mathematical Methods
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    Chapter 3 State Space Models
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    Chapter 4 Matrix Models, Supervectors and Discrete Systems
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    Chapter 5 Iterative Learning Control: A Formulation
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    Chapter 6 Control Using Inverse Model Algorithms
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    Chapter 7 Monotonicity and Gradient Algorithms
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    Chapter 8 Combined Inverse and Gradient Based Design
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    Chapter 9 Norm Optimal Iterative Learning Control
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    Chapter 10 NOILC: Natural Extensions
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    Chapter 11 Iteration and Auxiliary Optimization
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    Chapter 12 Iteration as Successive Projection
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    Chapter 13 Acceleration and Successive Projection
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    Chapter 14 Parameter Optimal Iterative Control
Attention for Chapter 12: Iteration as Successive Projection
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