Parallel Iterative Algorithms, Bahi, Jacques Mohcine

Автор: Francisco Fern?ndez de Vega; Jos? Ignacio Hidalgo
Название: Parallel Architectures and Bioinspired Algorithms
ISBN: 3642427367 ISBN-13(EAN): 9783642427367
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.

Автор: Carretero
Название: Algorithms and Architectures for Parallel Processing
ISBN: 3319499556 ISBN-13(EAN): 9783319499550
Издательство: Springer
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Цена: 61490.00 T
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Описание: This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.

Автор: Bahi, Jacques Mohcine , Contassot-Vivier, Sylvain
Название: Parallel Iterative Algorithms
ISBN: 0367388162 ISBN-13(EAN): 9780367388164
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание:

Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples and specific algorithms, and an evaluation of the advantages and drawbacks of the algorithms. Several exercises also appear at the end of most chapters.

The first two chapters introduce the general features of sequential iterative algorithms and their applications to numerical problems. The book then describes different kinds of parallel systems and parallel iterative algorithms. It goes on to address both linear and nonlinear parallel synchronous and asynchronous iterative algorithms for numerical computation, with an emphasis on the multisplitting approach. The final chapter discusses the features required for efficient implementation of asynchronous iterative algorithms.

Providing the theoretical and practical knowledge needed to design and implement efficient parallel iterative algorithms, this book illustrates how to apply these algorithms to solve linear and nonlinear numerical problems in parallel environments, including local, distant, homogeneous, and heterogeneous clusters.

Автор: Dong Shen
Название: Iterative Learning Control with Passive Incomplete Information
ISBN: 9811341052 ISBN-13(EAN): 9789811341052
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: Limin Wang; Ridong Zhang; Furong Gao
Название: Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
ISBN: 9811357897 ISBN-13(EAN): 9789811357893
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book is based on the authors` research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering.

Автор: Witold Pedrycz; Shyi-Ming Chen
Название: Granular Computing and Decision-Making
ISBN: 3319364901 ISBN-13(EAN): 9783319364902
Издательство: Springer
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Цена: 121890.00 T
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Описание:

Granularity Helps Explain Seemingly Irrational Features of Human Decision Making.- A Comprehensive Granular Model for Decision Making with Complex Data.-Granularity in Economic Decision Making: An Interdisciplinary Review.- Decision Makers' Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM.- Using Computing with Words for Managing Non-Cooperative Behaviors in Large Scale Group Decision Making.- A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making.- Multi-Criteria Influence Diagrams - A Tool for the Sequential Group Risk Assessment.-Consensus Modeling under Fuzziness - A Dynamic Approach with Random Iterative Steps.- Decision Making - Interactive and Interactive Approaches.- Collaborative Decision Making by Ensemble Rule Based Classification Systems.- A GDM Method Based on Granular Computing for Academic Library Management.- Spatial-taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation.- Group Decision Making in Fuzzy Environment - An Iterative Procedure Based on Group Dynamics.- Fuzzy Optimization in Decision Making of Air Quality Management.- Group Decision Making in Fuzzy Environment - An Iterative Procedure Based on Group Dynamics.- Fuzzy Optimization in Decision Making of Air Quality Management.

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.

Автор: David H. Owens
Название: Iterative Learning Control
ISBN: 1447167708 ISBN-13(EAN): 9781447167709
Издательство: Springer
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Цена: 130610.00 T
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This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design.

Using detailed examples taken from linear, discrete and continuous-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately as their relevant algorithm design issues are distinct and give rise to different performance capabilities.

Together with algorithm design, the text demonstrates the underlying robustness of the paradigm and also includes new control laws that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference and auxiliary signals and also to support new properties such as spectral annihilation.

Iterative Learning Control will interest academics and graduate students working in control who will find it a useful reference to the current status of a powerful and increasingly popular method of control. The depth of background theory and links to practical systems will be of use to engineers responsible for precision repetitive processes.

Автор: Hyo-Sung Ahn; Kevin L. Moore; YangQuan Chen
Название: Iterative Learning Control
ISBN: 1849966583 ISBN-13(EAN): 9781849966580
Издательство: Springer
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Цена: 130590.00 T
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Описание: Shows the reader how to use robust iterative learning control in the face of model uncertainty Helps to improve the performance of repetitive electromechanical tasks, widespread in industry Provides a rounded and self-contained approach to the subject of iterative learning control not available elsewhere

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: Vivek Bannore
Название: Iterative-Interpolation Super-Resolution Image Reconstruction
ISBN: 3642101453 ISBN-13(EAN): 9783642101458
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents a novel, hybrid, computationally-efficient reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images.

Автор: Wang Danwei, Ye Yongqiang, Zhang Bin
Название: Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation
ISBN: 9811013535 ISBN-13(EAN): 9789811013539
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.