The unscented filter as an alternative to the EKF for nonlinear state estimation: a simulation case study

Author:

Romanenko Andrei,Castro José A.A.M.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference13 articles.

1. Simplification techniques for EKF computations in fault diagnosis–suboptimal gains;Chang;Chemical Engineering Science,1998

2. Simplification techniques for EKF computations in fault diagnosis: model decomposition;Chang;AIChE Journal,1998

3. Grewal, M. S., & Andrews, A. P. (1993). Kalman filtering: Theory and practice. Englewood Cliffs, NJ: Prentice-Hall.

4. Jazwinski, A. H. (1970). Stochastic processes and filtering theory. New York: Academic Press.

5. Julier, S. J., & Uhlmann, J. K. (1997). A new extension of the Kalman filter to nonlinear systems. In Proceedings of AeroSense: The 11th International Symposium on Aerospace/Defense Sensing, Simulation and Controls (pp. 182–193). Orlando, FL, USA: SPIE.

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