On convergence of nonlinear tracking differentiator based on finite-time stable system subject to stochastic noise.
Bao-Zhu GuoHao-Lan PengZe-Hao WuPublished in: IFAC J. Syst. Control. (2023)
Keyphrases
- general regression neural networks
- stochastic approximation
- discrete random variables
- visual tracking
- monte carlo
- real time
- noise level
- object tracking
- kalman filter
- tracking error
- lyapunov theory
- noisy data
- signal to noise ratio
- particle filter
- noise reduction
- weight update
- nonlinear systems
- particle filtering
- motion analysis
- appearance model
- moving target
- kalman filtering
- simple linear
- tracking accuracy
- convergence rate
- mean shift
- evolutionary algorithm