Uncertainty and Control, J?rgen Ackermann

Автор: Lucian Bu?oniu; Levente Tam?s
Название: Handling Uncertainty and Networked Structure in Robot Control
ISBN: 3319263250 ISBN-13(EAN): 9783319263250
Издательство: Springer
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Цена: 139750.00 T
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Описание: Thisbook focuses on two challenges posed in robot control by the increasingadoption of robots in the everyday human environment: uncertainty and networkedcommunication.

Автор: H.Y. Hu; E. Kreuzer
Название: IUTAM Symposium on Dynamics and Control of Nonlinear Systems with Uncertainty
ISBN: 9401776431 ISBN-13(EAN): 9789401776431
Издательство: Springer
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Цена: 111790.00 T
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Описание: This is a state-of-the-art treatise on the problems of both nonlinearity and uncertainty in the dynamics and control of engineering systems. The concept of dynamics and control implies the combination of dynamic analysis and control synthesis.

Автор: Claude Greengard; Andrzej Ruszczynski
Название: Decision Making Under Uncertainty
ISBN: 1441930140 ISBN-13(EAN): 9781441930149
Издательство: Springer
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Цена: 144410.00 T
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Описание: In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete.

Автор: Rudolf Kruse; Erhard Schwecke; Jochen Heinsohn
Название: Uncertainty and Vagueness in Knowledge Based Systems
ISBN: 3642767044 ISBN-13(EAN): 9783642767043
Издательство: Springer
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Цена: 111790.00 T
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Описание: Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems.

Автор: Roy S. Smith; Mohammed Dahleh
Название: The Modeling of Uncertainty in Control Systems
ISBN: 3540198709 ISBN-13(EAN): 9783540198703
Издательство: Springer
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Цена: 81050.00 T
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Описание: This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Twelve keynote essays give an overview of the field and speculate on future directions and nineteen technical papers delineate the state of the art in the field.

Автор: Simona Salicone
Название: Measurement Uncertainty
ISBN: 1441940340 ISBN-13(EAN): 9781441940346
Издательство: Springer
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Цена: 75420.00 T
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Описание: This book presents an alternative approach and companion to the GUM Instrumentation Standard. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations.

Автор: Sullivan, T.J.
Название: Introduction to Uncertainty Quantification
ISBN: 3319233947 ISBN-13(EAN): 9783319233949
Издательство: Springer
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Цена: 55890.00 T
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Описание: This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study. Uncertainty quantification is a topic of increasing practical importance at the intersection of applied mathematics, statistics, computation and numerous application areas in science and engineering. This text is designed as an introduction to UQ for senior undergraduate and graduate students with a mathematical or statistical background and also for researchers from the mathematical sciences or from applications areas who are interested in the field.

Автор: Shi Jin; Lorenzo Pareschi
Название: Uncertainty Quantification for Hyperbolic and Kinetic Equations
ISBN: 331967109X ISBN-13(EAN): 9783319671093
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods.

Автор: Richard Szeliski
Название: Bayesian Modeling of Uncertainty in Low-Level Vision
ISBN: 1461289041 ISBN-13(EAN): 9781461289043
Издательство: Springer
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Цена: 139710.00 T
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Описание: First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and compute the prior model, the sensor model, and the posterior model.

Автор: Volchenkov
Название: Survival under Uncertainty
ISBN: 3319394193 ISBN-13(EAN): 9783319394190
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book introduces and studies a number of stochastic models of subsistence, communication, social evolution and political transition that will allow the reader to grasp the role of uncertainty as a fundamental property of our irreversible world. At the same time, it aims to bring about a more interdisciplinary and quantitative approach across very diverse fields of research in the humanities and social sciences.Through the examples treated in this work – including anthropology, demography, migration, geopolitics, management, and bioecology, among other things – evidence is gathered to show that volatile environments may change the rules of the evolutionary selection and dynamics of any social system, creating a situation of adaptive uncertainty, in particular, whenever the rate of change of the environment exceeds the rate of adaptation.Last but not least, it is hoped that this book will contribute to the understanding that inherent randomness can also be a great opportunity – for social systems and individuals alike – to help face the challenge of “survival under uncertainty”.

Автор: Smita Krishnaswamy; Igor L. Markov; John P. Hayes
Название: Design, Analysis and Test of Logic Circuits Under Uncertainty
ISBN: 9400797982 ISBN-13(EAN): 9789400797987
Издательство: Springer
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Цена: 104480.00 T
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Описание: Combining theory with practical examples, this volume presents a comprehensive overview of logic circuits. The text presents techniques used to analyze, design and test logic circuits with probabilistic behavior, and provides a multidisciplinary approach to uncertainty.

Автор: Michel Grabisch; Hung T. Nguyen; E.A. Walker
Название: Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
ISBN: 9048144779 ISBN-13(EAN): 9789048144778
Издательство: Springer
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Цена: 204040.00 T
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Описание: But we know precious little about human reasoning processes, learning mechanisms and the like, and in particular about reasoning with limited, imprecise knowledge. In a sense, intelligent systems are machines which use the most general form of human knowledge together with human reasoning capability to reach decisions.