Stochastic Dynamics Filtering And Optimization

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Stochastic Dynamics Filtering And Optimization
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Author : Debasish Roy
language : en
Publisher: Cambridge University Press
Release Date : 2017-05-04
Stochastic Dynamics Filtering And Optimization written by Debasish Roy and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-04 with Mathematics categories.
This book introduces essential concepts in stochastic processes that interface seamlessly with applications of interest in science and engineering.
Digital Twin
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Author : Ranjan Ganguli
language : en
Publisher: CRC Press
Release Date : 2023-04-17
Digital Twin written by Ranjan Ganguli and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Computers categories.
The digital twin of a physical system is an adaptive computer analog which exists in the cloud and adapts to changes in the physical system dynamically. This book introduces the computing, mathematical, and engineering background to understand and develop the concept of the digital twin. It provides background in modeling/simulation, computing technology, sensor/actuators, and so forth, needed to develop the next generation of digital twins. Concepts on cloud computing, big data, IoT, wireless communications, high-performance computing, and blockchain are also discussed. Features: Provides background material needed to understand digital twin technology Presents computational facet of digital twin Includes physics-based and surrogate model representations Addresses the problem of uncertainty in measurements and modeling Discusses practical case studies of implementation of digital twins, addressing additive manufacturing, server farms, predictive maintenance, and smart cities This book is aimed at graduate students and researchers in Electrical, Mechanical, Computer, and Production Engineering.
Automated And Autonomous Navigation Powered By Gnss
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Author : Mauro Cardone
language : en
Publisher: Springer Nature
Release Date : 2025-04-25
Automated And Autonomous Navigation Powered By Gnss written by Mauro Cardone and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Transportation categories.
This book is the result of one-year investigation in all the available technologies necessary to build an efficient navigation system usable on rovers moving on the ground and at the sea, centered on GNSS (Global Navigation Satellite System). It is used as instruction note for the calls for tender in the Italian Space Agency. It targets the applications of automated and autonomous navigation for the following types of rover: trains at level 2 of ERTMS/ETCS—autonomous cars, starting from level 3 of SAE -MASS (Maritime Autonomous Surface Ships) at level 4 of IMO. The material is already edited for the using of professionals and engineers who need to build a navigation system on top of COTS hardware. The topics cover in a thorough view all the necessary subjects to build an efficient positioning system for the rover enabling coping with all kind of environments and all interferences and always warranting a minimum level of the positioning KPIs (reliability, availability, integrity, and accuracy). The localization system built according to these guidelines will be ready to be certified and the product will be at TRL 6 (i.e., technology demonstrated in the relevant environment).
Stochastic Calculus And Differential Equations For Physics And Finance
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Author : Joseph L. McCauley
language : en
Publisher: Cambridge University Press
Release Date : 2013-02-21
Stochastic Calculus And Differential Equations For Physics And Finance written by Joseph L. McCauley and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-21 with Business & Economics categories.
Stochastic calculus provides a powerful description of a specific class of stochastic processes in physics and finance. However, many econophysicists struggle to understand it. This book presents the subject simply and systematically, giving graduate students and practitioners a better understanding and enabling them to apply the methods in practice. The book develops Ito calculus and Fokker–Planck equations as parallel approaches to stochastic processes, using those methods in a unified way. The focus is on nonstationary processes, and statistical ensembles are emphasized in time series analysis. Stochastic calculus is developed using general martingales. Scaling and fat tails are presented via diffusive models. Fractional Brownian motion is thoroughly analyzed and contrasted with Ito processes. The Chapman–Kolmogorov and Fokker–Planck equations are shown in theory and by example to be more general than a Markov process. The book also presents new ideas in financial economics and a critical survey of econometrics.
Inverse Problems And Data Assimilation
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Author : Daniel Sanz-Alonso
language : en
Publisher: Cambridge University Press
Release Date : 2023-08-10
Inverse Problems And Data Assimilation written by Daniel Sanz-Alonso and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-10 with Computers categories.
This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study.
New Trends In Optimal Filtering And Control For Polynomial And Time Delay Systems
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Author : Michael Basin
language : en
Publisher: Springer
Release Date : 2008-09-18
New Trends In Optimal Filtering And Control For Polynomial And Time Delay Systems written by Michael Basin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-18 with Technology & Engineering categories.
0. 1 Introduction Although the general optimal solution of the ?ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a ?nite-dimensional closed system of ?ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy ?lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ?ltering equations. However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]). The complete classi?cation of the “general situation” cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear ?nite-dimensional ?lter exists, is given in [95].
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1994
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Aeronautics categories.
Dynamic Neural Field Theory For Motion Perception
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Author : Martin A. Giese
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Dynamic Neural Field Theory For Motion Perception written by Martin A. Giese and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems.
Nasa Reference Publication
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Author :
language : en
Publisher:
Release Date : 1985
Nasa Reference Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Astronautics categories.
Bayesian Filtering And Smoothing
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Author : Simo Särkkä
language : en
Publisher: Cambridge University Press
Release Date : 2013-09-05
Bayesian Filtering And Smoothing written by Simo Särkkä and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-05 with Computers categories.
A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.