Improved state estimation using a combination of moving horizon estimator and particle filters

Proceedings of the American Control Conference

Volumn , Issue , 2007, Pages 4443-4444

  Rajamani, Murali R ^a   Rawlings, James B ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED PROCESS CONTROL (APC); FAST STATES; HANDLING CONSTRAINTS; MONTE CARLO (MC); MOVING HORIZON ESTIMATOR; PARTICLE FILTER (PF); PARTICLE FILTERS (PF);

AIR FILTERS; CONTROL THEORY; DISTRIBUTED COMPUTER SYSTEMS; EXPOSURE CONTROLS; INTELLIGENT CONTROL; MILITARY DATA PROCESSING; NONLINEAR FILTERING; PRODUCTION CONTROL; ROBUST CONTROL; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL FILTERING AND PREDICTION; STATE ESTIMATION; TARGET TRACKING; WAVE FILTERS;

ESTIMATION;

EID: 46449126261     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2007.4283068     Document Type: Conference Paper

References (2)

1. C. V. Rao, J. B. Rawlings, and D. Q. Mayne, "Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations," IEEE Trans. Auto. Cont., vol. 48, no. 2, pp. 246-258, February 2003.
2. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian Altering," Stat. and Comput., vol. 10, pp. 197-208, 2000.