| A Machine Learning Approach for Tuning Model Predictive Controllers AS Ira, I Shames, C Manzie, R Chin, D Nešić, H Nakada, T Sano 2018 15th International Conference on Control, Automation, Robotics and …, 2018 | 19 | 2018 |
| Tuning of multivariable model predictive controllers through expert bandit feedback AS Ira, C Manzie, I Shames, R Chin, D Nešić, H Nakada, T Sano International Journal of Control 94 (10), 2650-2658, 2021 | 9 | 2021 |
| Active learning for linear parameter-varying system identification R Chin, AI Maass, N Ulapane, C Manzie, I Shames, D Nešić, JE Rowe, ... IFAC-PapersOnLine 53 (2), 989-994, 2020 | 9 | 2020 |
| Ordinal Optimisation and the Offline Multiple Noisy Secretary Problem R Chin, JE Rowe, I Shames, C Manzie, D Nešić arXiv preprint arXiv:2106.01185, 2021 | 4 | 2021 |
| Tuning of model predictive engine controllers over transient drive cycles AI Maass, C Manzie, I Shames, R Chin, D Nešić, N Ulapane, H Nakada IFAC-PapersOnLine 53 (2), 14022-14027, 2020 | 4 | 2020 |
| Re-parametrising Cost Matrices for Tuning Model Predictive Controllers R Chin, JE Rowe 2019 IEEE Congress on Evolutionary Computation (CEC), 2856-2863, 2019 | 2 | 2019 |
| Gaussian Processes with Monotonicity Constraints for Preference Learning from Pairwise Comparisons R Chin, C Manzie, A Ira, D Nesic, I Shames 2018 IEEE Conference on Decision and Control (CDC), 1150-1155, 2018 | 2 | 2018 |
| A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning R Chin, C Manzie, I Shames, D Nešić, JE Rowe arXiv preprint arXiv:2102.09738, 2021 | 1 | 2021 |
| Stochastics, Statistics, Skedastics R Chin | | 2022 |
| Model Predictive Controller Tuning by Machine Learning and Ordinal Optimisation RA Chin | | 2021 |
| Ordinal Optimisation for the Gaussian Copula Model R Chin, JE Rowe, I Shames, C Manzie, D Nešić arXiv preprint arXiv:1911.01993, 2019 | | 2019 |
