Prognostics for an actuator based on an ensemble of support vector regression and particle filter.
Runxia GuoJianfei SuiPublished in: J. Syst. Control. Eng. (2019)
Keyphrases
- support vector regression
- particle filter
- particle filtering
- object tracking
- visual tracking
- kalman filter
- state space
- mean shift
- regression model
- support vector
- support vector machine svm
- appearance model
- motion model
- multiple hypotheses
- hybrid model
- neural network
- state estimation
- control system
- support vector classification
- data association
- kernel function
- nonlinear regression
- sequential monte carlo
- rao blackwellized particle filter
- learning algorithm
- support vector machine
- random forest
- robust tracking
- dynamic programming
- feature space
- training data
- feature selection
- feature vectors
- search space
- training set
- decision trees