A set-based framework for coherent model invalidation and parameter estimation of discrete time nonlinear systems.
Steffen BorchersPhilipp RumschinskiSandro BosioRobert WeismantelRolf FindeisenPublished in: CDC (2009)
Keyphrases
- parameter estimation
- em algorithm
- nonlinear systems
- random fields
- probabilistic model
- maximum likelihood
- model selection
- parameter estimation algorithm
- least squares
- expectation maximization
- bayesian model selection
- neural network
- fuzzy control
- learning rate
- mathematical model
- markov random field
- higher order
- evolutionary algorithm
- bayesian networks
- image processing
- learning algorithm