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Book Cover
E-book
Author Shen, Dong

Title Iterative Learning Control over Random Fading Channels
Published Milton : Taylor & Francis Group, 2023

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Description 1 online resource (357 p.)
Contents Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Author Bios -- CHAPTER 1: Introduction -- 1.1. Essence of Learning Control -- 1.2. Iterative Learning Control -- 1.3. Brief Formulation of Discrete-Time ILC -- 1.4. Fading Channels and Related Control Issues -- 1.5. Structure of This Monograph -- SECTION I: Known Channel Statistics -- CHAPTER 2: Learning Control over Random Fading Channel -- 2.1. Introduction -- 2.2. Problem Formulation -- 2.3. Output Fading Channel Case -- 2.4. Input Fading Channel Case -- 2.5. Illustrative Simulations
2.5.1. MIMO System -- 2.5.2. PMLM System -- 2.6. Summary -- CHAPTER 3: Tracking Performance Enhancement by Input Averaging -- 3.1. Introduction -- 3.2. Problem Formulation -- 3.3. Output Fading Case -- 3.3.1. Fading Effect Analysis -- 3.3.2. Learning Algorithm Design -- 3.3.3. Convergence Analysis -- 3.4. Input Fading Case -- 3.4.1. Fading Effect Analysis -- 3.4.2. Learning Algorithm Design -- 3.4.3. Convergence Analysis -- 3.5. Illustrative Simulations -- 3.5.1. MIMO Numerical Example -- 3.5.2. DC-Motor Example -- 3.6. Summary
CHAPTER 4: Averaging Techniques for Balancing Learning and Tracking Abilities -- 4.1. Introduction -- 4.2. Problem Formulation -- 4.2.1. System Formulation -- 4.2.2. Fading Channel -- 4.2.3. Effect Analysis -- 4.2.4. Open Problems -- 4.3. Main Results -- 4.3.1. Averaging Techniques and Associated Learning Algorithms -- 4.3.2. MA-Based Learning Algorithm -- 4.3.3. GA-Based Learning Algorithm -- 4.3.4. FA-Based Learning Algorithm -- 4.3.5. Discussions -- 4.4. Proofs of Main Theorems -- 4.5. Discussions and Extensions -- 4.5.1. Plant Model -- 4.5.2. Varying System Responses, Disturbances, and Noise
4.5.3. General Fading Framework -- 4.6. Illustrative Simulations -- 4.6.1. MA-Based Scheme -- 4.6.2. GA-Based Scheme -- 4.6.3. FA-Based Scheme -- 4.6.4. Comparison between Three Schemes -- 4.7. Summary -- SECTION II: Unknown Channel Statistics -- CHAPTER 5: Gradient Estimation Method for Unknown Fading Channels -- 5.1. Introduction -- 5.2. Problem Formulation -- 5.3. ILC Algorithms and Convergence Analysis -- 5.3.1. Algorithm Design -- 5.3.2. Convergence Analysis -- 5.3.3. Variants of the Algorithm with Constant Gains -- 5.4. Illustrative Simulations -- 5.5. Summary
CHAPTER 6: Iterative Estimation Method for Unknown Fading Channels -- 6.1. Introduction -- 6.2. Problem Formulation -- 6.2.1. System Formulation -- 6.2.2. Fading Channel Formulation -- 6.2.3. Control Objective -- 6.2.4. Iterative Estimation of the Fading Gain -- 6.3. Learning Control for Output Fading Case -- 6.3.1. Fading Correction and Effect Analysis -- 6.3.2. Learning Algorithm Design -- 6.3.3. Convergence Analysis -- 6.4. Learning Control for Input Fading Case -- 6.4.1. Fading Estimation and Correction -- 6.4.2. Learning Algorithm Design -- 6.4.3. Convergence Analysis
Notes Description based upon print version of record
6.4.4. A General Formulation
Subject Intelligent control systems.
Iterative methods (Mathematics)
Radio -- Transmitters and transmission -- Fading.
Random variables.
Form Electronic book
Author Yu, Xinghuo
ISBN 9781003821120
100382112X