3 papers
math.OC2024
Parallelizable Parametric Nonlinear System Identification via tuning of a Moving Horizon State Estimator
Léo Simpson, Jonas Asprion, Simon Muntwiler +2
This paper introduces a novel optimization-based approach for parametric nonlinear system identification. Building upon the prediction error method framework, traditionally used fo…
eess.SY2024
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units
Jing Xie, Léo Simpson, Jonas Asprion +1
Temperature control is a complex task due to its often unknown dynamics and disturbances. This paper explores the use of Neural Nonlinear AutoRegressive eXogenous (NNARX) models fo…
math.OC2022
An Efficient Method for the Joint Estimation of System Parameters and Noise Covariances for Linear Time-Variant Systems
Léo Simpson, Andrea Ghezzi, Jonas Asprion +1
We present an optimization-based method for the joint estimation of system parameters and noise covariances of linear time-variant systems. Given measured data, this method maximiz…