H_infinity Control and Filtering of Two-Dimensional Systems, Du Chungling, Xie Lihua
Автор: Mohinder S. Grewal,Angus P. Andrews Название: Kalman Filtering: Theory and Practice with MATLAB ISBN: 1118851218 ISBN-13(EAN): 9781118851210 Издательство: Wiley Рейтинг: Цена: 10659 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon thei
Описание: The purpose of a Kalman filter is to estimate the state of a system froeasurements that contain random errors. An example of this is estimating the position and velocity of a satellite from radar data. The book includes real-world problems in practice as illustrative examples and also covers the more practical aspects of implementation. In addition, it is accompanied by MATLAB files available on the Wiley ftp site, and also an instructor's manual.
Описание: An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detection of ranm processes in noisy environments are critical tasks necessary in the analysis and design of new communications systems and useful signal processing algorithms. Random Processes: Filtering, Estimation, and Detection clearly explains the basics of probability and random processes and details modern detection and estimation theory to accomplish these tasks. In this book, Lonnie Ludeman, an award-winning authority in digital signal processing, joins the fundamentals of random processes with the standard techniques of linear and nonlinear systems analysis and hypothesis testing to give signal estimation techniques, specify optimum estimation procedures, provide optimum decision rules for classification purposes, and describe performance evaluation definitions and procedures for the resulting methods. The text covers four main, interrelated topics: * Probability and characterizations of random variables and random processes * Linear and nonlinear systems with random excitations * Optimum estimation theory including both the Wiener and Kalman Filters * Detection theory for both discrete and continuous time measurements Lucid, thorough, and well-stocked with numerous examples and practice problems that emphasize the concepts discussed, Random Processes: Filtering, Estimation, and Detection is an understandable and useful text ideal as both a self-study guide for professionals in the field and as a core text for graduate students.
Автор: Ali H. Sayed Название: Fundamentals of Adaptive Filtering ISBN: 0471461261 ISBN-13(EAN): 9780471461265 Издательство: Wiley Рейтинг: Цена: 19228 р. Наличие на складе: Поставка под заказ.
Описание: This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses. Offers computer problems to illustrate real life applications for students and professionals alike There will be an Instructor's Manual presenting detailed solutions to all the problems in the book
Описание: This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
Описание: Aims to present research developments and references on robust control and filtering of uncertain singular systems in a unified matrix inequality setting. This monograph provides a different approach to studying control and filtering problems as extensions of state-space systems without the commonly used slow-fast decomposition.
Описание: Organized for use as a text for an introductory course in stochastic processes at the senior level and as a first-year, graduate-level course in Kalman filtering theory and applications, this book includes real-world problems in practice as illustrative examples, and also covers the more practical aspects of implementation. The author Grewal teaches at Cal State Fullerton and also offers seminars and tutorials on Kalman Filters. Dr. Grewal has contributed the Article on Kalman Filters for the Webster Encyclopedia.
Автор: Majda Название: Filtering Complex Turbulent Systems ISBN: 1107016665 ISBN-13(EAN): 9781107016668 Издательство: Cambridge Academ Рейтинг: Цена: 8950 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many natural phenomena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phenomena involves filtering noisy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we need to do this in real time, for example for weather forecasting or pollution control. All this is further complicated by the sheer number of parameters involved leading to further problems associated with the 'curse of dimensionality' and the 'curse of small ensemble size'. The authors develop, for the first time in book form, a systematic perspective on all these issues from the standpoint of applied mathematics. The book contains enough background material from filtering, turbulence theory and numerical analysis to make the presentation self-contained and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten observations and models.
Описание: In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities.
Описание: A guide on the theory of various subband adaptive filtering techniques. It offers an introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. It bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing.
Описание: The first monograph devoted exclusively to spatial filtering velocimetry, this book includes fundamental theory, imaging optics, signal analysis, spatial filtering devices and systems, plus applications. Also suitable as a tutorial for students and users who are unfamiliar with optics and signal processing, Spatial Filtering Velocimetry treats the principle and properties of this velocimetric technique in a concise and easily readable form, together with full appendices. The book reviews a wide range of systems and applications of the spatial-filtering technique for velocity and related measurements, putting forth examples useful in various fields of science, medicine, and engineering.
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