Автор: Muthusamy Lakshmanan; Dharmapuri Vijayan Senthilku Название: Dynamics of Nonlinear Time-Delay Systems ISBN: 3642266495 ISBN-13(EAN): 9783642266492 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamics of Nonlinear Time-Delay Systems presents the fundamentals of chaotic time-delay systems and their synchronization, with an emphasis on the effects of time-delay feedback. Special attention is devoted to scalar chaotic/hyperchaotic time-delay systems, which includes some higher order models.
Автор: Holger Kantz Название: Nonlinear Time Series Analysis ISBN: 0521529026 ISBN-13(EAN): 9780521529020 Издательство: Cambridge Academ Рейтинг: Цена: 12355.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine and engineering.
Автор: Fan Jianqing, Yao Qiwei Название: Nonlinear Time Series / Nonparametric and Parametric Methods ISBN: 0387261427 ISBN-13(EAN): 9780387261423 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the contemporary statistical methods and theory of nonlinear time series analysis. The principal focus is on nonparametric and semiparametric techniques developed in the last decade. It covers the techniques for modelling in state-space, in frequency-domain as well as in time-domain. To reflect the integration of parametric and nonparametric methods in analyzing time series data, the book also presents an up-to-date exposure of some parametric nonlinear models, including ARCH/GARCH models and threshold models. A compact view on linear ARMA models is also provided. Data arising in real applications are used throughout to show how nonparametric approaches may help to reveal local structure in high-dimensional data. Important technical tools are also introduced. The book will be useful for graduate students, application-oriented time series analysts, and new and experienced researchers. It will have the value both within the statistical community and across a broad spectrum of other fields such as econometrics, empirical finance, population biology and ecology. The prerequisites are basic courses in probability and statistics. Jianqing Fan, coauthor of the highly regarded book Local Polynomial Modeling, is Professor of Statistics at the University of North Carolina at Chapel Hill and the Chinese University of Hong Kong. His published work on nonparametric modeling, nonlinear time series, financial econometrics, analysis of longitudinal data, model selection, wavelets and other aspects of methodological and theoretical statistics has been recognized with the Presidents' Award from the Committee of Presidents of Statistical Societies, the Hettleman Prize for Artistic and Scholarly Achievement from the University of North Carolina, and by his election as a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an elected member of the International Statistical Institute, and has served on the editorial boards for the Journal of the Royal Statistical Society (Series B) and the Australian and New Zealand Journal of Statistics.
Автор: Changchun Hua; Liuliu Zhang; Xinping Guan Название: Robust Control for Nonlinear Time-Delay Systems ISBN: 9811051305 ISBN-13(EAN): 9789811051302 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents novel work on several kinds of commonly encountered nonlinear time-delay systems, including those whose nonlinear terms satisfy high-order polynomial form or general nonlinear form, those with nonlinear input or a triangular structure, and so on.
Автор: Dean J. Driebe Название: Fully Chaotic Maps and Broken Time Symmetry ISBN: 9048151686 ISBN-13(EAN): 9789048151684 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Boltzmann`s work has lead to innumerable controversies as the laws of classical mechanics (as well as the laws of quan- tum mechanics) as traditionally formulated imply symmetry between past and future.
Описание: Safety evaluation by definition involves many complex factors and thus covers a wide range of topics. Figure 1 indicates the range of topics covered in the workshop. This table relates the authors to the subject matter, providing a guide through the diverse range of topics presented at the workshop.
Автор: Wei-Bin Zhang Название: Synergetic Economics ISBN: 3642759114 ISBN-13(EAN): 9783642759116 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Of particular interest are sudden (structural) changes, the existence of regular and irregular oscillations, the role of random factors in economic evolution, and the effects of time scales and rates of adjustment of economic variables in economic analysis.
Автор: J. Franke; W. H?rdle; D. Martin Название: Robust and Nonlinear Time Series Analysis ISBN: 038796102X ISBN-13(EAN): 9780387961026 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data.
Автор: Wang Название: Time Optimal Control of Evolution Equations ISBN: 3319953621 ISBN-13(EAN): 9783319953625 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph develops a framework for time-optimal control problems, focusing on minimal and maximal time-optimal controls for linear-controlled evolution equations. Its use in optimal control provides a welcome update to Fattorini's work on time-optimal and norm-optimal control problems. By discussing the best way of representing various control problems and equivalence among them, this systematic study gives readers the tools they need to solve practical problems in control.
After introducing preliminaries in functional analysis, evolution equations, and controllability and observability estimates, the authors present their time-optimal control framework, which consists of four elements: a controlled system, a control constraint set, a starting set, and an ending set. From there, they use their framework to address areas of recent development in time-optimal control, including the existence of admissible controls and optimal controls, Pontryagin's maximum principle for optimal controls, the equivalence of different optimal control problems, and bang-bang properties.
This monograph will appeal to researchers and graduate students in time-optimal control theory, as well as related areas of controllability and dynamic programming. For ease of reference, the text itself is self-contained on the topic of time-optimal control. Frequent examples throughout clarify the applications of theorems and definitions, although experience with functional analysis and differential equations will be useful.
Описание: This brief is a clear, concise description of the main techniques of time series analysis —stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.— as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques.The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques.Results are well-illustrated by figures and tables.
Описание: The goals of this text are to prove or disprove the solution of reduced nonlinear ODE`s by different analytic methods, and to show that these solutions are intermediate asymptotics of a class of initial/boundary conditions arising from physical considerations.
Автор: De Gooijer, Jan G. Название: Elements of nonlinear time series analysis and forecasting ISBN: 3319827707 ISBN-13(EAN): 9783319827704 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications.
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