1. Schei TS. A finite-difference approach to linearization in nonlinear estimation algorithms. Proc. Am. Control Conf. 1995;114–118.

2. Schei TS. A finite-difference method for linearization in nonlinear estimation algorithms. Automatica 1997;33(11):2053–2058.

3. Nimgrgaard M, Poulsen, NK, Ravn O. Advances in Derivative-Free State Estimation for Nonlinear Systems. Technical University of Denmark, IMM-REP-1998–15; 2000.

4. Nimgrgaard M, Poulsen, NK, Ravn O. New developments state estimation for nonlinear systems. Automatica 2000;36:1627–1638.

5. Ito K, Xiong K. Gaussian filters for nonlinear filtering problems. IEEE Trans. Automatic Control 2000;45(5):910–927.

6. Wu Y, Hu D, Wu M, Hu X. A numerical-integration perspective on Gaussian filters. IEEE Trans. Sig. Proc. 2006;54(8):2910–2921.

7. Lerner UN. Hybrid Bayesian Networks for Reasoning About Complex Systems, PhD Dissertation. Department of Computer Science, Stanford University; October 2002.

8. McNamee J, Stenger F. Construction of fully symmetric numerical integration formulas. Numerische Math. 1967;10:327–344.

Get Bayesian Estimation and Tracking: A Practical Guide now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.