Learn IT - Books tags kalman

Nonlinear Kalman Filtering for Force-Controlled Robot Tasks (Springer Tracts in Advanced Robotics)

Springer, 2009

This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy. Kalman...

Nonlinear Filtering: Methods and Applications

Springer, 2018

This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including...

Subspace Methods for System Identification

Springer, 2005

System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results. The text is...

Kalman Filter Recent Advances and Applications

Scitus Academics, 2016

The discussion about the manned spacecraft program was initiated at NASA in 1959. Only one year later, Dr. Kalman and Dr. Schmidt linked the linear Kalman filter and the perturbation theory in order to obtain the Kalman-Schmidt filter, currently known as the extended Kalman filter. This approach would be implemented in 1961 using an...

Biomedical Image Analysis: Tracking (Synthesis Lectures on Image, Video, & Multimedia Processing)

Morgan and Claypool Publishers, 2006

In biological and medical imaging applications, tracking objects in motion is a critical task. This book describes the state-of-the-art in biomedical tracking techniques. We begin by detailing methods for tracking using active contours, which have been highly successful in biomedical applications. The book next covers the major probabilistic...

Online Damage Detection in Structural Systems: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters (SpringerBriefs in Applied Sciences and Technology)

Springer, 2014

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference...

Modern Control Design With MATLAB and SIMULINK

John Wiley & Sons, 2002

The motivation for writing this book can be ascribed chiefly to the usual struggle of

an average reader to understand and utilize controls concepts, without getting lost in

the mathematics. Many textbooks are available on modern control, which do a fine

job of presenting the control theory....

Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness

Apress, 2018

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and...

Adaptive Wireless Transceivers : Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA, and OFDM Systems

John Wiley & Sons, 2002

Adaptive Wireless Transceivers provides the reader with a broad overview of near-instantaneously adaptive transceivers in the context of TDMA, CDMA and OFDM systems. The adaptive transceivers examined employ powerful turbo codecs, turbo equalisers and space-time codecs, equipping the reader with a future-proof technological road map. It...

Web Security Field Guide

Cisco Press, 2002

While the Internet has transformed and improved the way we do business, this vast network and its associated technologies have opened the door to an increasing number of security threats. The challenge for successful, public web sites is to encourage access to the site while eliminating undesirable or malicious traffic and to provide sufficient...

The Variational Bayes Method in Signal Processing

Springer, 2005

This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...

Embedded Control Systems in C/C++: An Introduction for Software Developers Using MATLAB

CMP Books, 2003

Implement proven design techniques for control systems without having to master any advanced mathematics. Using an effective step-by-step approach, this book presents a number of control system design techniques geared toward readers of all experience levels. Mathematical derivations are avoided, thus making the methods accessible to developers...

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