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 Free Download Iterative Learning Control for Deterministic Systems by Kevin L. Moore English | PDF | 1993 | 158 Pages | ISBN : 1447119142 | 19.2 MB 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 specificways 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.  Free Download Iterative Learning Control Algorithms and Experimental Benchmarking by Eric Rogers, Bing Chu, Christopher Freeman English | February 16, 2023 | ISBN: 0470745045 | 448 pages | MOBI | 51 Mb Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING  Free Download Iterative Learning Control over Random Fading Channels by Dong Shen English | 2023 | ISBN: 1032646373 | 357 pages | True PDF | 14.53 MB  Iterative Learning Control Algorithms and Experimental Benchmarking by Rogers, Eric;Chu, Bing;Freeman, Christopher;Lewin, Paul; English | 2023 | ISBN: 0470745045 | 451 pages | True PDF | 21.33 MB  Jamal Chaouki, "Scale-up Processes: Iterative Methods for the Chemical, Mineral and Biological Industries " English | ISBN: 3110713934 | 2021 | 300 pages | PDF | 145 MB Common scale-up methods are conventional where the blind piloting is essential. This imposes huge investment and leads to failures mostly in solid processing. However, the limitations of resources, current shortcomings, short time-to-market demand are forced companies to minimize piloting. With these situations in mind, current digitalization outlook and computational facilities, we proposed and developed a novel iterative scale up method with case studies which highly expedites the process innovation through the following key sequences:  Data-Driven Iterative Learning Control for Discrete-Time Systems English | 2022 | ISBN: 9811959498 | 245 Pages | PDF EPUB (True) | 35 MB 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 the system's output and input between two consecutive iterations. On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis. After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications. The readers can learn the recent progress on DDILC for complex systems in practical applications. This book is intended for academic scholars, engineers, and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.  Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven by Ronghu Chi, Na Lin, Huimin Zhang, Ruikun Zhang English | EPUB | 2022 | 211 Pages | ISBN : 9811904634 | 30.5 MB This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory.  English | 2022 | ISBN: 3030916537 | 128 pages | True PDF EPUB | 7.61 MB This brief explores the Krasnosel'skiĭ-Man (KM) iterative method, which has been extensively employed to find fixed points of nonlinear methods.  Iterative Solution of Large Sparse Systems of Equations by Wolfgang Hackbusch English | PDF | 2016 | 528 Pages | ISBN : 3319284819 | 4.7 MB In the second edition of this classic monograph, complete with four new chapters and updated references, readers will now have access to content describing and analysing classical and modern methods with emphasis on the algebraic structure of linear iteration, which is usually ignored in other literature.  Dominique Orban, "Iterative Solution of Symmetric Quasi-Definite Linear Systems" English | ISBN: 1611974720 | 2017 | 107 pages | PDF | 4 MB Numerous applications, including computational optimization and fluid dynamics, give rise to block linear systems of equations said to have the quasi-definite structure. In practical situations, the size or density of those systems can preclude a factorization approach, leaving only iterative methods as the solution technique. Known iterative methods, however, are not specifically designed to take advantage of the quasi-definite structure. |
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