An Introduction to the Extended Kalman Filter


Matthias Holland (Editor)

Series: Mathematics Research Developments
BISAC: MAT029000

An Introduction to the Extended Kalman Filter first presents a study wherein a two-stage approach for the estimation of a spacecraft’s position and velocity using single station antenna tracking data is proposed.
Since the Kalman filter and its variants are widely used for estimation in diverse domains, the authors also present a review of fault detection, diagnosis and fault tolerant control of descriptor/differential algebraic equation systems specifically focused on the Kalman filter and its variants.
The closing contribution provides insight into the intrinsic convergence of the extended Kalman filter when operated in the stochastic frame for the class of systems and outputs considered.

Table of Contents

Table of Contents


Chapter 1. EKF-Based Orbit Determination Using Single Ground Tracking Antenna Measurements
(Chingiz Hajiyev and Ahmet Sofyalı, Aeronautical Engineering Department, Istanbul Technical University, Istanbul, Turkey)

Chapter 2. Kalman Filters for Descriptor Systems Applied in Domain of Fault Tolerant Control: A Review
(Tigmanshu Patel, M. S. Rao, Jalesh L. Purohit and V. A. Shah, Dharmsinh Desai University, Nadiad, India)

Chapter 3. Convergence of the Discrete Extended Kalman Filter in Nonlinear Deterministic Systems with Noisy Outputs
(Leonardo Esau Herrera, PhD and Jaime Herrera, PhD, Mechanical and Aerospace Engineering Department, NPS, Monterey, CA, US)

Chapter 4. Applying the Extended Kalman Filter to the Induction Motor
(Daniel Chonghwan Lee, School of Engineering Science, Simon Fraser University, Canada)


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