Constrained extended Kalman filter for nonlinear state estimation

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 40, Issue 5, 2007, Pages 63-68

  Ungarala, Sridhar ^a   Dolence, Eric ^a   Li, Keyu ^a  

^a Cleveland State University   (United States)

Author keywords

Constraints; Extended Kalman Filter; State estimation

Indexed keywords

BANDPASS FILTERS; BATCH REACTORS; CONSTRAINT THEORY; NONLINEAR ANALYSIS; STATE ESTIMATION;

CONSTRAINED STATE ESTIMATION; CONSTRAINTS; DYNAMIC STATE ESTIMATION; INEQUALITY CONSTRAINT; MOVING HORIZON ESTIMATION; NONLINEAR STATE ESTIMATION; ONLINE OPTIMIZATION; WEAKLY NONLINEAR SYSTEMS;

EXTENDED KALMAN FILTERS;

EID: 85014239209     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20070606-3-MX-2915.00058     Document Type: Conference Paper

References (10)

1. Haseltine, E. L. and J. B. Rawlings (2003). Using moving horizon estimation to overcome extended Kalman filtering failure. In: AIChE Annual Meeting. San Francisco, CA.
2. Haseltine, E. L. and J. B. Rawlings (2005). Critical evaluation of extended Kalman filtering and moving horizon estimation. Ind. Eng. Chem. Res. 44, 2451-2460.
3. Jang, S.-S., B. Joseph and H. Mukai (1986). Comparison of two approaches to on-line parameter and state estimation of nonlinear systems. Ind. Eng. Chem. Proc. Des. Dev. 25, 809.
4. Jazwinski, A. H. (1970). Stochastic Processes and Filtering Theory. Academic Press. New York.
5. Lewis, T. O. and P. L. Odell (1971). Estimation in Linear Models. Prentice-Hall. Englewood Cliffs, NJ.
6. Liebman, M. J., T. F. Edgar and L. S. Lasdon (1992). Efficient data reconciliation and estimation for dynamic processes using nonlinear programming techniques. Comp. Chem. Eng. 16, 963.
7. Robertson, D. G., J. H. Lee and J. B. Rawlings (1996). A moving horizon-based approach to least squares estimation. AIChE J. 42(8), 2209.
8. Ungarala, S. and B. R. Bakshi (2001). Bayesian inference with constraints: a unified approach for data rectification of linear dynamic systems. In: Proc. of IFAC DYCOPS-6. Korea.
9. Vachhani, P., S. Narasimhan and R. Rengaswamy (2004a). Recursive state estimation in nonlinear processes. In: Proc. American Control Conference. Boston, MA. pp. 200-224.
10. Vachhani, P., S. Narasimhan and R. Rengaswamy (2004b). Robust constrained estimation via unscented transformation. In: Proc. DY-COPS7. Boston, MA.