Selecting the past and future for subspace identification of nonlinear systems with feedback and additive noise.
Wallace E. LarimorePublished in: ACC (2006)
Keyphrases
- nonlinear systems
- additive noise
- maximum likelihood
- adaptive control
- noisy images
- spatial domain
- fuzzy model
- fuzzy systems
- control law
- fuzzy control
- random variables
- adaptive neural control
- learning rate
- speech signal
- fuzzy controller
- feature space
- high dimensional data
- denoising
- closed loop
- high dimensional
- control scheme
- control method
- fuzzy sets
- mobile robot
- autonomous robots
- optical flow
- input output
- membership functions
- feature extraction
- computer vision