Abstract: The performance of industrially successful model predictive control (MPC) and offset-free MPC is reliant on identifying an adequate linear state-space model using plant data. While the ...

Abstract: This paper explores the hybrid Cramer-Rao lower-bound (HCRLB) for a Gaussian generalized linear estimation problem in which some of the unknown parameters are deterministic while the other ...

We describe the use of splines for solving nonlinear model estimation problems, in which nonlinear functions with unknown shapes and values are involved, by converting the nonlinear estimation ...

This project implements the models proposed in NICE: Non-linear Independent Components Estimation paper written by Laurent Dinh, David Krueger and Yoshua Bengio. The results of the models can be found ...

In radar perception tasks, it is necessary to estimate the direction of arrival (DOA) of the sources to achieve various applications such as target detection, tracking, and imaging. Especially for ...