Application of Adaptive Extended Kalman Filtering Scheme to Improve the Efficiency of a Groundwater Contaminant Transport Model

Author:

Chang Shoou-Yuh,Addai Elvis B.

Publisher

Springer International Publishing

Reference18 articles.

1. Chang, S. Y., & Jin, A. (2005). Kalman filtering with regional noise to improve accuracy of contaminant transport models. Journal of Environmental Engineering, 131(6), 971–982.

2. Chang, S. Y., & Latif, S. M. I. (2010). Extended Kalman filtering to improve the accuracy of a subsurface contaminant transport model. Journal of Environmental Engineering, 136(5), 466–474.

3. Gerald, W. R. (2011). Finite difference approximations to the heat equation. Port-land, OR: Mechanical Engineering Department Portland State University. Retrieved August 15, 2012, from www.f.kth.se/~jjalap/numme/FDheat.pdf .

4. Guoquan, P. H., & Stergios, I. R. (2008). An observability constrained UKF for improving slam consistency. Multiple Autonomous Robotic Systems Laboratory, Technical Report Vol. 2, pp. 1–29.

5. Han, J., Kim, D., & Sunwoo, M. (2009). State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter. Journal of Power Sources, 188, 606–612.

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