Receding-Horizon Nonlinear Kalman (RNK) Filter for State Estimation.
Raghunathan RengaswamyShankar NarasimhanVidyashankar KuppurajPublished in: IEEE Trans. Autom. Control. (2013)
Keyphrases
- learning algorithm
- state estimation
- kalman filter
- receding horizon
- kalman filtering
- filtering algorithm
- particle filter
- air traffic control
- optimal linear
- particle filtering
- visual tracking
- dynamic systems
- extended kalman filter
- formation control
- noise reduction
- object tracking
- mean shift
- dynamic environments
- multiscale
- state space
- feature extraction