A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systems.
Xiaokai NieDaniel CocaPublished in: Commun. Nonlinear Sci. Numer. Simul. (2018)
Keyphrases
- dynamical systems
- density function
- probability density function
- differential equations
- nonlinear dynamical systems
- density estimation
- kernel density estimation
- mean shift
- hidden markov models
- state space
- density distribution
- linear systems
- predictive state representations
- bayesian networks
- feature space
- distance function