State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties PDF Download
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Author: Noack, Benjamin
Publisher: KIT Scientific Publishing
ISBN: 3731501244
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.
Author: Noack, Benjamin
Publisher: KIT Scientific Publishing
ISBN: 3731501244
Category : Technology & Engineering
Languages : en
Pages : 292
Get Book Here
Book Description
State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.
Author: Benjamin Noack
Publisher:
ISBN: 9781013282003
Category : Mathematics
Languages : en
Pages : 284
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Book Description
State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Author: Reinhardt, Marc
Publisher: KIT Scientific Publishing
ISBN: 3731503425
Category : Mathematics
Languages : en
Pages : 262
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Book Description
A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.
Author: Gilitschenski, Igor
Publisher: KIT Scientific Publishing
ISBN: 3731504731
Category : Electronic computers. Computer science
Languages : en
Pages : 198
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Book Description
The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.
Author: Hassen Fourati
Publisher: CRC Press
ISBN: 1482263750
Category : Technology & Engineering
Languages : en
Pages : 639
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Book Description
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
Author: Faion, Florian
Publisher: KIT Scientific Publishing
ISBN: 3731505177
Category : Technology (General)
Languages : en
Pages : 229
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Book Description
We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at a given time. We propose an approach to track the parameters of arbitrary objects, which provides new solutions to the above challenges, and marks a significant advance to the state of the art.
Author: Kurz, Gerhard
Publisher: KIT Scientific Publishing
ISBN: 3731503824
Category : Electronic computers. Computer science
Languages : en
Pages : 272
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Book Description
In robotic beating heart surgery, a remote-controlled robot can be used to carry out the operation while automatically canceling out the heart motion. The surgeon controlling the robot is shown a stabilized view of the heart. First, we consider the use of directional statistics for estimation of the phase of the heartbeat. Second, we deal with reconstruction of a moving and deformable surface. Third, we address the question of obtaining a stabilized image of the heart.
Author: Pfaff, Florian
Publisher: KIT Scientific Publishing
ISBN: 3731509326
Category : Computers
Languages : en
Pages : 270
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Book Description
Author: Fischer, Joerg
Publisher: KIT Scientific Publishing
ISBN: 3731503050
Category : Electronic computers. Computer science
Languages : en
Pages : 184
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Book Description
In Networked Control Systems (NCS), components of a control loop are connected by data networks that may introduce time-varying delays and packet losses into the system, which can severly degrade control performance. Hence, this book presents the newly developed S-LQG (Sequence-Based Linear Quadratic Gaussian) controller that combines the sequence-based control method with the well-known LQG approach to stochastic optimal control in order to compensate for the network-induced effects.
Author: Klemm, Martin
Publisher: KIT Scientific Publishing
ISBN: 3731508001
Category : Augmented reality
Languages : en
Pages : 242
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Book Description
The focus of this work is a generic, intraoperative and image-free planning and execution application for arbitrary orthopedic interventions using a novel handheld robotic device and optical see-through glasses (AR). This medical CAD application enables the surgeon to intraoperatively plan the intervention directly on the patient's bone. The glasses and all the other instruments are accurately calibrated using new techniques. Several interventions show the effectiveness of this approach.
