A Nonlinear Filter of EKF Type Using Formal Linearization of Polynomials for Both State and Measurement Equations
Author:
Affiliation:
1. National Institute of Technology, Kumamoto College
2. Kagoshima University
Publisher
Research Institute of Signal Processing, Japan
Link
https://www.jstage.jst.go.jp/article/jsp/28/2/28_37/_pdf
Reference10 articles.
1. [1] R. E. Kalman: A new approach to linear filtering and prediction problems, Trans. ASME, J. Basic Eng., pp. 35-45, 1960.
2. [2] M. Athans and E. Tse: A direct derivation of the optimal linear filter using the maximum principle, IEEE Trans. Autom. Control, Vol. AC-12, No. 6, pp. 690-698, 1967.
3. [3] A. P. Sage and C. C. White, III: Optimum Systems Control, 2nd ed., Prentice-Hall, Inc., 1977.
4. [4] A. J. Krener: Approximate linearization by state feedback and coordinate change, Syst. Control Lett., Vol. 5, pp. 181-185, 1984.
5. [5] Y. Sawaragi, T. Soeda and T. Nakamizo: Basis of Stochastic System Control, Nisshin Shuppan Co. Ltd, 1987 (in Japanese).
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