Uncertainty in Complex Networked Systems, Tamer Bas?ar
Автор: Reuben R. McDaniel; Dean J. Driebe Название: Uncertainty and Surprise in Complex Systems ISBN: 3642062725 ISBN-13(EAN): 9783642062728 Издательство: Springer Рейтинг: Цена: 14817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Complexity science has been a source of new insight in physical and social systems and has demonstrated that unpredictability and surprise are fundamental aspects of the world around us.
Автор: Ding, Shuxin Chen, Chen Zhang, Qi Xin, Bin Pardalos, Panos M. (uni Of Florida, Usa) Название: Metaheuristics for resource deployment under uncertainty in complex systems ISBN: 1032065206 ISBN-13(EAN): 9781032065205 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used.The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics.This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.
Автор: Alessandro Chiuso; Luigi Fortuna; Mattia Frasca; A Название: Modelling, Estimation and Control of Networked Complex Systems ISBN: 3642031986 ISBN-13(EAN): 9783642031984 Издательство: Springer Рейтинг: Цена: 20516.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Networked systems have excellent modelling capabilities for complexity. This volume presents practical networked system applications, including agent coordination, synchronization, resource allocation and control over communication networks.
Автор: Chen Peng; Dong Yue; Qing-Long Han Название: Communication and Control for Networked Complex Systems ISBN: 3662468123 ISBN-13(EAN): 9783662468128 Издательство: Springer Рейтинг: Цена: 9756.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on the latest advances in the study of Networked Control Systems (NCSs).
Автор: Chen Peng; Dong Yue; Qing-Long Han Название: Communication and Control for Networked Complex Systems ISBN: 3662526328 ISBN-13(EAN): 9783662526323 Издательство: Springer Рейтинг: Цена: 11397.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on the latest advances in the study of Networked Control Systems (NCSs).
Автор: Alessandro Chiuso; Luigi Fortuna; Mattia Frasca; A Название: Modelling, Estimation and Control of Networked Complex Systems ISBN: 3642260179 ISBN-13(EAN): 9783642260179 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Networked systems have excellent modelling capabilities for complexity. This volume presents practical networked system applications, including agent coordination, synchronization, resource allocation and control over communication networks.
Автор: Lucian Bu?oniu; Levente Tam?s Название: Handling Uncertainty and Networked Structure in Robot Control ISBN: 3319263250 ISBN-13(EAN): 9783319263250 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thisbook focuses on two challenges posed in robot control by the increasingadoption of robots in the everyday human environment: uncertainty and networkedcommunication.
Автор: Bușoniu Lucian, Tamas Levente Название: Handling Uncertainty and Networked Structure in Robot Control ISBN: 3319799320 ISBN-13(EAN): 9783319799322 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thisbook focuses on two challenges posed in robot control by the increasingadoption of robots in the everyday human environment: uncertainty and networkedcommunication.
Автор: Marco A. C. Pacheco; Marley M. B. R. Vellasco Название: Intelligent Systems in Oil Field Development under Uncertainty ISBN: 3642100961 ISBN-13(EAN): 9783642100963 Издательство: Springer Рейтинг: Цена: 20516.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The decision to invest in oil field development is an extremely complex problem. This book is a result of about four years of research in this area. It presents applications of intelligent decision support systems to oil field development under uncertainty.
Автор: Caers Название: Quantifying Uncertainty in Subsurface Systems ISBN: 1119325838 ISBN-13(EAN): 9781119325833 Издательство: Wiley Рейтинг: Цена: 25019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Under the Earth's surface is a rich array of geological resources, many with potential use to humankind. However, extracting and harnessing them comes with enormous uncertainties, high costs, and considerable risks. The valuation of subsurface resources involves assessing discordant factors to produce a decision model that is functional and sustainable. This volume provides real-world examples relating to oilfields, geothermal systems, contaminated sites, and aquifer recharge.
Volume highlights include:
A multi-disciplinary treatment of uncertainty quantification
Case studies with actual data that will appeal to methodology developers
A Bayesian evidential learning framework that reduces computation and modeling time
Quantifying Uncertainty in Subsurface Systems is a multidisciplinary volume that brings together five major fields: information science, decision science, geosciences, data science and computer science. It will appeal to both students and practitioners, and be a valuable resource for geoscientists, engineers and applied mathematicians.
Read the Editors' Vox: https: //eos.org/editors-vox/quantifying-uncertainty-about-earths-resources
Reviews, The Leading Edge, SEG, May 2020
The subsurface medium created by geologic processes is not always well understood. The data we collect in an attempt to characterize the subsurface can be incomplete and inaccurate. However, if we understand the uncertainty of our data and the models we generate from them, we can make better decisions regarding the management of subsurface resources. Modeling and managing subsurface resources, and properly characterizing and understanding the uncertainties, requires the integration of a variety of scientific and engineering disciplines.
Five case studies are outlined in the introductory chapter, which are used to demonstrate various methods throughout the book. The second chapter introduces the basic notions in decision analysis. Uncertainty quantification is only relevant within the decision framework used. Models alone do not quantify uncertainty, but do allow the determination of key variables that influence models and decisions. Next, an overview of the various data science methods relevant to uncertainty quantification in the subsurface is provided. Sensitivity analysis is then covered, specifically Monte Carlo-based sensitivity analysis. The next three chapters develop the Bayesian approach to uncertainty quantification, and this is the focus of the book.
All of this is brought together in Chapter 8, which describes a solution regarding quantifying the uncertainties for each of the problems presented in the first chapter. The authors admit that it is not the only solution. No single solution fits all problems of uncertainty quantification. The results in this chapter allow the reader to see the previously described methods applied and how choices influence models and decisions. The final two chapters discuss various software components necessary to implement the strategies presented in the book and challenges faced in the future of uncertainty quantification.
The book uses a number of relevant subsurface problems to explore the various aspects of uncertainty quantification. Understanding uncertainty, and how it affects modeling and decision outcomes, is not always straightforward. However, it is necessary in order to make good, consistent decisions. The book is not an easy read. Some portions require good mathematical understanding of the underlying principles. However, the book is well documented and organized. I would say that is not a good book for a beginner, but it is a good resource for someone to get a grounding to go further into the subject. I appreciate the authors putting together this book on a complex problem that is important to our industry.
-- Da
Автор: Roy S. Smith; Mohammed Dahleh Название: The Modeling of Uncertainty in Control Systems ISBN: 3540198709 ISBN-13(EAN): 9783540198703 Издательство: Springer Рейтинг: Цена: 10610.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Rudolf Kruse; Erhard Schwecke; Jochen Heinsohn Название: Uncertainty and Vagueness in Knowledge Based Systems ISBN: 3642767044 ISBN-13(EAN): 9783642767043 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems.
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