Iterative Learning Control for Nonlinear Time-Delay System, Wei

Автор: David H. Owens
Название: Iterative Learning Control
ISBN: 144716928X ISBN-13(EAN): 9781447169284
Издательство: Springer
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Цена: 113180.00 T
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Описание: Iterative Learning Control: Background and Review. Mathematical and Linear Modelling Methodologies.- Norm Optimal Iterative Learning Control: An Optimal Control Perspective.- Predicting the Effects of Non-minimum-phase Zeros.- Predictive Norm Optimal Iterative Learning Control.- Other Applications of Norm Optimal Iterative Learning Control.- Successive Projection Algorithms.- Parameter Optimal Iterative Learning Control.- Robustness of Parameter Optimal Iterative Learning Control.- Multi-parameter Optimal Iterative Learning Control.- No Normal 0 false false false EN-GB X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name: "Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow: yes; mso-style-priority:99; mso-style-parent: ""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination: widow-orphan; font-size:11.0pt; font-family: "Calibri","sans-serif"; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin; mso-fareast-language: EN-US;} nlinear Iterative Learning Control and Optimization.

Автор: Liu Kun, Fridman Emilia, Xia Yuanqing
Название: Networked Control Under Communication Constraints: A Time-Delay Approach
ISBN: 9811542295 ISBN-13(EAN): 9789811542299
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book presents a time-delay approach to the analysis and synthesis of networked control systems (NCSs) under communication constraints.

Автор: Iasson Karafyllis; Michael Malisoff; Frederic Maze
Название: Recent Results on Nonlinear Delay Control Systems
ISBN: 3319367609 ISBN-13(EAN): 9783319367606
Издательство: Springer
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Цена: 121890.00 T
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Описание: This volume collects recent advances in nonlinear delay systems, with an emphasis on constructive generalized Lyapunov and predictive approaches that certify stability properties.

Автор: Iasson Karafyllis; Michael Malisoff; Frederic Maze
Название: Recent Results on Nonlinear Delay Control Systems
ISBN: 3319180711 ISBN-13(EAN): 9783319180717
Издательство: Springer
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Цена: 148020.00 T
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Описание: This volume collects recent advances in nonlinear delay systems, with an emphasis on constructive generalized Lyapunov and predictive approaches that certify stability properties.

Автор: Chi
Название: Discrete-Time Adaptive Iterative Learning Control
ISBN: 9811904669 ISBN-13(EAN): 9789811904660
Издательство: Springer
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Цена: 121110.00 T
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Описание: 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. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various 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.

Автор: Chi Ronghu, Lin Na, Zhang Huimin
Название: Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven
ISBN: 9811904634 ISBN-13(EAN): 9789811904639
Издательство: Springer
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Цена: 121110.00 T
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Описание: 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.

Автор: Chi
Название: Data-Driven Iterative Learning Control for Discrete-Time Systems
ISBN: 9811959498 ISBN-13(EAN): 9789811959493
Издательство: Springer
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Цена: 139750.00 T
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Описание: 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.

Автор: Saad, Yousef
Название: Iterative Methods for Sparse Linear Systems, 2 ed.
ISBN: 0898715342 ISBN-13(EAN): 9780898715347
Издательство: Wiley
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Цена: 180230.00 T
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Описание: This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations.

Автор: Amat
Название: Advances in Iterative Methods for Nonlinear Equations
ISBN: 3319392271 ISBN-13(EAN): 9783319392271
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book focuses on the approximation of nonlinear equations using iterative methods. Nine contributions are presented on the construction and analysis of these methods, the coverage encompassing convergence, efficiency, robustness, dynamics, and applications. Many problems are stated in the form of nonlinear equations, using mathematical modeling. In particular, a wide range of problems in Applied Mathematics and in Engineering can be solved by finding the solutions to these equations. The book reveals the importance of studying convergence aspects in iterative methods and shows that selection of the most efficient and robust iterative method for a given problem is crucial to guaranteeing a good approximation. A number of sample criteria for selecting the optimal method are presented, including those regarding the order of convergence, the computational cost, and the stability, including the dynamics. This book will appeal to researchers whose field of interest is related to nonlinear problems and equations, and their approximation.

Автор: Wang Danwei, Ye Yongqiang, Zhang Bin
Название: Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation
ISBN: 9814585599 ISBN-13(EAN): 9789814585590
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book examines iterative learning control (ILC) with a focus on design and implementation. It presents a framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between performance and stability.

Автор: Dong Shen
Название: Iterative Learning Control with Passive Incomplete Information
ISBN: 9811082669 ISBN-13(EAN): 9789811082665
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.

Автор: Zeungnam Bien; Jian-Xin Xu
Название: Iterative Learning Control
ISBN: 1461375754 ISBN-13(EAN): 9781461375753
Издательство: Springer
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Цена: 139750.00 T
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Описание: Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa- tion, such as tracking errors and control input signals, into the construction of the present control action.