On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models.
Rafael OrellanaRodrigo CarvajalPedro EscárateJuan C. AgüeroPublished in: Sensors (2021)
Keyphrases
- dynamic systems
- gaussian mixture model
- discrete event
- mixture model
- complex systems
- qualitative reasoning
- consistency based diagnosis
- speaker recognition
- maximum likelihood
- dynamical systems
- continuous variables
- feature vectors
- speaker identification
- expectation maximization
- em algorithm
- qualitative models
- gaussian mixture
- covariance matrices
- density estimation
- model based diagnosis
- probability density
- probability density function
- particle filter
- training data
- ordinary differential equations
- graphical models
- state space
- finite mixtures