Analyzing noise-induced tracking errors in control systems with saturation: A stochastic linearization approach.
Juseung LeeHamid R. OssarehYongsoon EunPublished in: J. Frankl. Inst. (2021)
Keyphrases
- control system
- real time
- measurement noise
- measurement errors
- particle filter
- kalman filter
- estimation error
- additive noise
- monte carlo
- signal to noise ratio
- visual tracking
- appearance model
- noise level
- image noise
- noisy data
- kalman filtering
- noise model
- motion tracking
- missing data
- gaussian noise
- registration errors
- random noise
- target tracking
- control policies
- motion analysis
- object tracking
- class noise
- residual error
- error accumulation
- errors occur
- noise free
- noisy environments
- error analysis
- partial occlusion
- noise reduction
- mean shift
- image quality
- state space
- neural network