| Data-driven methods for building control—A review and promising future directions ET Maddalena, Y Lian, CN Jones Control Engineering Practice 95, 104211, 2020 | 114 | 2020 |
| Recurrent neural network based MPC for process industries N Lanzetti, YZ Lian, A Cortinovis, L Dominguez, M Mercangöz, C Jones 2019 18th European Control Conference (ECC), 1005-1010, 2019 | 67 | 2019 |
| 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 |
| Koopman based data-driven predictive control Y Lian, R Wang, CN Jones arXiv preprint arXiv:2102.05122, 2021 | 32 | 2021 |
| Nonlinear data-enabled prediction and control Y Lian, CN Jones Learning for Dynamics and Control, 523-534, 2021 | 28 | 2021 |
| Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow J Wang, Y Lian, Y Jiang, Q Xu, K Li, CN Jones Transportation Research Part C: Emerging Technologies 155, 104274, 2023 | 13 | 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 |
| From system level synthesis to robust closed-loop data-enabled predictive control Y Lian, CN Jones 2021 60th IEEE Conference on Decision and Control (CDC), 1478-1483, 2021 | 11 | 2021 |
| Joint energy management for distributed energy harvesting systems N Stricker, Y Lian, Y Jiang, CN Jones, L Thiele Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 11 | 2021 |
| Learning feature maps of the koopman operator: A subspace viewpoint Y Lian, CN Jones 2019 IEEE 58th Conference on Decision and Control (CDC), 860-866, 2019 | 11 | 2019 |
| On Gaussian process based koopman operators Y Lian, CN Jones IFAC-PapersOnLine 53 (2), 449-455, 2020 | 9 | 2020 |
| Data-driven input reconstruction and experimental validation J Shi, Y Lian, CN Jones IEEE Control Systems Letters 6, 3259-3264, 2022 | 8 | 2022 |
| Resource-aware asynchronous multi-agent coordination via self-triggered MPC Y Lian, S Wildhagen, Y Jiang, B Houska, F Allgöwer, CN Jones 2020 59th IEEE Conference on Decision and Control (CDC), 685-690, 2020 | 8 | 2020 |
| Distributed deep-lcc for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles J Wang, Y Lian, Y Jiang, Q Xu, K Li, C Jones Available at SSRN 4258152, 2022 | 6 | 2022 |
| On Gaussian process based Koopman operators L Yingzhao, C Jones Ifac Papersonline 53 (2), 52-58, 2020 | 5 | 2020 |
| On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller U Rosolia, Y Lian, ET Maddalena, G Ferrari-Trecate, CN Jones IEEE Transactions on Automatic Control 68 (1), 556-563, 2022 | 4 | 2022 |
| Resource-aware stochastic self-triggered model predictive control Y Lian, Y Jiang, N Stricker, L Thiele, CN Jones IEEE Control Systems Letters 6, 1262-1267, 2021 | 4 | 2021 |
| Robust resource-aware self-triggered model predictive control Y Lian, Y Jiang, N Stricker, L Thiele, CN Jones IEEE Control Systems Letters 6, 1724-1729, 2021 | 3 | 2021 |
| Hypergraph-Based Fast Distributed AC Power Flow Optimization X Dai, Y Lian, Y Jiang, CN Jones, V Hagenmeyer 2023 62nd IEEE Conference on Decision and Control (CDC), 4572-4579, 2023 | 2 | 2023 |
| A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control Y Lian, Y Jiang, DF Opila, CN Jones IEEE Transactions on Control Systems Technology, 2023 | 1 | 2023 |
