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Reinforcement learning using expectation maximization based guided policy search for stochastic dynamics

Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization

On the Uncertainty Modelling for Linear Continuous-Time Systems Utilising Sampled Data and Gaussian Mixture Models

State and parameter estimation for jump Markov linear systems

Model error modelling using a stochastic embedding approach with gaussian mixture models for FIR systems

A simplified approach to produce probabilistic hydrological model predictions

Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures

Solar forecasting for power system operator

Asymptotic optimality of the maximum-likelihood Kalman filter for Bayesian tracking with multiple nonlinear sensors

On identification of networked systems with time-invariant topology

An EM-based identification algorithm for a class of hybrid systems with application to power electronics

Identification of sparse FIR systems using a general quantisation scheme

Identification of Hammerstein-Wiener models

UNIT: a freely available system identification toolbox

An identification method for Errors-in-Variables systems using incomplete data

Dual time-frequency domain system identification

Asymptotic statistical analysis for model-based control design strategies

On identification of FIR systems having quantized output data

Bayesian system identification via Markov chain Monte Carlo techniques

Maximum likelihood estimation of state space models from frequency domain data

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