| Real-time Optimization with persistent parameter adaptation using online parameter estimation JOA Matias, GAC Le Roux Journal of Process Control 68, 195-204, 2018 | 38 | 2018 |
| Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation X Liu, J Matias, J Jäschke, J Vatn Reliability Engineering & System Safety 217, 108084, 2022 | 26 | 2022 |
| Steady-state real-time optimization using transient measurements on an experimental rig J Matias, JPC Oliveira, GAC Le Roux, J Jäschke Journal of Process Control 115, 181-196, 2022 | 18 | 2022 |
| Using a neural network for estimating plant gradients in real-time optimization with modifier adaptation J Matias, J Jäschke IFAC-PapersOnLine 52 (1), 808-813, 2019 | 17 | 2019 |
| Online model maintenance via output modifier adaptation J Matias, J Jäschke Industrial & Engineering Chemistry Research 58 (30), 13750-13766, 2019 | 13 | 2019 |
| Nonlinear predictive control of a bioreactor by surrogate model approximation of flux balance analysis RD de Oliveira, MN Guedes, J Matias, GAC Le Roux Industrial & Engineering Chemistry Research 60 (40), 14464-14475, 2021 | 12 | 2021 |
| Bioprocess monitoring: A moving horizon estimation experimental application A Tuveri, HE Holck, CSM Nakama, J Matias, J Jäschke, L Imsland, N Bar IFAC-PapersOnLine 55 (7), 222-227, 2022 | 8 | 2022 |
| Feedforward, cascade and model predictive control algorithms for de-oiling hydrocyclones: simulation study M Vallabhan, J Matias, C Holden | 8 | 2021 |
| Plantwide optimization via real-time optimization with persistent parameter adaptation JOA Matias, GAC Le Roux Journal of Process Control 92, 62-78, 2020 | 7 | 2020 |
| Health-aware advanced control applied to a gas-lifted oil well network J Matias, J Ågotnes, J Jäschke IFAC-PapersOnLine 53 (3), 301-306, 2020 | 7 | 2020 |
| Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig P de Azevedo Delou, J Matias, J Jäschke, MB de Souza Jr, AR Secchi Journal of Process Control 132, 103111, 2023 | 6 | 2023 |
| A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application A Tuveri, CSM Nakama, J Matias, HE Holck, J Jäschke, L Imsland, N Bar Computers & Chemical Engineering 172, 108183, 2023 | 6 | 2023 |
| Real-time optimization with persistent parameter adaptation applied to experimental rig J Matias, JP de Castro Oliveira, GAC Le Roux, J Jäschke Ifac-papersonline 54 (3), 475-480, 2021 | 6 | 2021 |
| Experimental validation of distributed feedback-based real-time optimization in a gas-lifted oil well rig R Dirza, J Matias, S Skogestad, D Krishnamoorthy Control Engineering Practice 126, 105253, 2022 | 5 | 2022 |
| Online model maintenance in real-time optimization methods J Matias, J Jäschke Computers & Chemical Engineering 145, 107141, 2021 | 5 | 2021 |
| Modifier adaptation for real-time optimization of a gas lifted well network JOA Matias, GAC Le Roux, J Jäschke IFAC-PapersOnLine 51 (8), 31-36, 2018 | 5 | 2018 |
| Data-driven modelling of choke valve erosion using data simulated from a first principles model JH Jahren, J Matias, J Jäschke Computer Aided Chemical Engineering 50, 773-778, 2021 | 4 | 2021 |
| Simultaneous online model identification and production optimization using modifier adaptation J Matias, V Kungurtsev, M Egan Journal of Process Control 110, 110-120, 2022 | 3 | 2022 |
| State and Parameter Estimation in Dynamic Real-time Optimization with Closed-Loop Prediction J Matias, CLE Swartz Computer Aided Chemical Engineering 52, 1867-1872, 2023 | 1 | 2023 |
| Convolutional Neural Network as a Steady-state Detector for Real-time Optimization VPB Nguyen, J Matias, J Jäschke 2022 European Control Conference (ECC), 2247-2252, 2022 | 1 | 2022 |
