Online model maintenance in real-time optimization methods. - José Matias; Johannes Jäschke (Comput. Chem. Eng., 2021)

Steady-state Real-time Optimization Using Transient Measurements on an Experimental Rig. - José Matias; Julio P. C. Oliveira; Galo A. C. Le Roux; Johannes Jäschke (CoRR, 2021)

Convolutional Neural Network as a Steady-state Detector for Real-time Optimization. - Vinh Phuc Bui Nguyen; José Matias; Johannes Jäschke (ECC, 2022)

Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. - Xingheng Liu; José Matias; Johannes Jäschke; Jørn Vatn (Reliab. Eng. Syst. Saf., 2022)

A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. - Andrea Tuveri; Caroline S. M. Nakama; José Matias; Haakon Eng Holck; Johannes Jäschke; Lars Imsland; Nadav Bar (Comput. Chem. Eng., 2023)

State and parameter estimation in closed-loop dynamic real-time optimization - A comparative study. - José Matias; Christopher L. E. Swartz (Comput. Chem. Eng., 2025)