Approximated stochastic model predictive control using statistical linearization of nonlinear dynamical system in latent space.
Hiroyuki OyamaMasaki YamakitaH. Harry AsadaPublished in: CDC (2016)
Keyphrases
- dynamical systems
- model predictive control
- latent space
- control system
- predictive control
- latent variables
- nonlinear dynamical systems
- control law
- low dimensional
- differential equations
- mpc algorithm
- latent variable models
- state space
- parameter space
- gaussian process
- gaussian process latent variable models
- generative model
- dimensionality reduction
- lower dimensional
- high dimensional
- matrix factorization
- probabilistic latent semantic analysis
- manifold learning
- gaussian processes
- gaussian mixture
- control algorithm
- transfer learning
- search algorithm