Introduction to Kalman Filter and Its Applications-Reference-Cited by-同舟云学术

Introduction to Kalman Filter and Its Applications

Published:2019-05-22 Issue: Volume: Page:
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Container-title:Introduction and Implementations of the Kalman Filter
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Author:

Kim Youngjoo,Bang Hyochoong

Publisher

IntechOpen

Link

http://www.intechopen.com/download/pdf/63164

Reference12 articles.

1. Simon D. Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches. Oxford: John Wiley & Sons; 2006

2. Li XR, Jilkov VP. Survey of maneuvering target tracking. Part I. Dynamic models. IEEE Transactions on Aerospace and Electronic Systems. 2003;39(4):1333-1364

3. Rajamani MR, Rawlings JB. Estimation of the disturbance structure from data using semidefinite programming and optimal weighting. Automatica. 2009;45(1):142-148

4. Matisko P, Havlena V. Noise covariance estimation for Kalman filter tuning using Bayesian approach and Monte Carlo. International Journal of Adaptive Control and Signal Processing. 2013;27(11):957-973

5. Introduction to Kalman Filter and Its Applications. 2018. Available from: https://uk.mathworks.com/matlabcentral/fileexchange/68262-introduction-to-kalman-filter-and-its-applications

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