| Adaptive robust data-driven building control via bilevel reformulation: An experimental result Y Lian, J Shi, M Koch, CN Jones IEEE Transactions on Control Systems Technology, 2023 | 45 | 2023 |
| Lessons learned from data-driven building control experiments: Contrasting gaussian process-based mpc, bilevel deepc, and deep reinforcement learning L Di Natale, Y Lian, ET Maddalena, J Shi, CN Jones 2022 IEEE 61st conference on decision and control (CDC), 1111-1117, 2022 | 12 | 2022 |
| Data-driven input reconstruction and experimental validation J Shi, Y Lian, CN Jones IEEE Control Systems Letters 6, 3259-3264, 2022 | 8 | 2022 |
| Efficient Recursive Data-enabled Predictive Control: an Application to Consistent Predictors J Shi, CN Jones arXiv preprint arXiv:2309.13755, 2023 | 2 | 2023 |
| Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland J Shi, Y Lian, C Salzmann, CN Jones arXiv preprint arXiv:2307.08866, 2023 | 1 | 2023 |
| Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters Y Lian, J Shi, CN Jones IEEE Control Systems Letters, 2023 | 1 | 2023 |
| Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning LD Natale, Y Lian, E Maddalena, J Shi, CN Jones 2022 IEEE 61st Conference on Decision and Control (CDC), 2023 | 1 | 2023 |
| Robust learning model predictive control for periodically correlated building control J Shi, Y Lian, CN Jones 2021 European Control Conference (ECC), 192-197, 2021 | 1 | 2021 |
| Efficient Recursive Data-enabled Predictive Control J Shi, Y Lian, CN Jones arXiv e-prints, arXiv: 2309.13755, 2023 | | 2023 |
| Towards an Unified Structure for Reinforcement Learning: an Optimization Approach J Shi, Y Lian, CN Jones arXiv preprint arXiv:2002.06883, 2020 | | 2020 |
Colin JonesAssociate Professor of Engineering, École Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
