Can learning deteriorate control? Analyzing computational delays in Gaussian process-based event-triggered online learning X Dai, A Lederer, Z Yang, S Hirche Learning for Dynamics and Control Conference, 445-457, 2023 | 13 | 2023 |
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy Z Yin, X Dai, Z Yang, Y Shen, G Hattab, H Zhao IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society …, 2023 | 9 | 2023 |
Quasi-static Optimal Control Strategy of Lattice Boom Crane Based on Large-Scale Flexible Non-linear Dynamics L Gao, X Dai, M Kleeberger, J Fottner Simulation and Modeling Methodologies, Technologies and Applications …, 2023 | 7 | 2023 |
Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version X Dai, Z Yang, S Hirche arXiv preprint arXiv:2304.05138, 2023 | 6 | 2023 |
Analysis of the Screw Flight Wear Model and Wear Regularity of the Bulk Transport in Screw Ship Unloader W Yang, W Meng, L Gao, Y Tan, J Fottner, X Dai, F Yao, Y Yuan, X Sun Iranian Journal of Science and Technology, Transactions of Mechanical …, 2022 | 6 | 2022 |
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression Z Yang, X Dai, A Dubey, S Hirche, G Hattab arXiv preprint arXiv:2402.03014, 2024 | 4 | 2024 |
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies Z Yang, S Dong, A Lederer, X Dai, S Chen, S Sosnowski, G Hattab, ... arXiv preprint arXiv:2402.03048, 2024 | 4 | 2024 |
Pri-GP: Prior-Aware Distributed Gaussian Process Regression Z Yang, X Dai, A Dubey, S Hirche, G Hattab | 4 | 2024 |
Gaussian Process-Based Event-Triggered Online Learning with Computational Delays for Control of Unknown Systems: Extended Version X Dai, A Lederer, Z Yang, S Hirche Proceedings of Machine Learning Research vol XX 1, 15, 2023 | 4 | 2023 |
Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression X Dai, Z Yang, M Xu, F Liu, G Hattab, S Hirche arXiv preprint arXiv:2402.03174, 2024 | 3 | 2024 |
Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression X Dai, Z Yang, M Xu, S Hirche arXiv preprint arXiv:2304.05138, 2023 | 3 | 2023 |
Learning-based prescribed-time safety for control of unknown systems with control barrier functions TY Huang, S Zhang, X Dai, A Capone, V Todorovski, S Sosnowski, ... IEEE Control Systems Letters, 2024 | 2 | 2024 |
Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification L Wan, X Dai, T Welfonder, E Petrova, P Pauwels arXiv preprint arXiv:2307.00638, 2023 | 2 | 2023 |
Continuous medium hypothesis-based study on the screw flight wear model and wear regularity in a screw ship unloader W Yang, W Meng, X Dai, Z Yin, F Yao, Y Yuan Transactions of the Canadian Society for Mechanical Engineering 45 (4), 584-593, 2021 | 2 | 2021 |
Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element. L Gao, X Dai, M Kleeberger, J Fottner SIMULTECH, 50-61, 2021 | 2 | 2021 |
A Learning-based Online Controller Tuning Method for Electric Motors using Gaussian Processes Z Yin, X Dai, Z Yang, D Xiao, F Menolascina, S Hirche, H Zhao Authorea Preprints, 2024 | 1 | 2024 |
Microstructure and Dry Friction of 2205 Dual‐Phase Steel during Solution Precipitation W Yang, W Meng, X Dai Shock and Vibration 2021 (1), 8697290, 2021 | 1 | 2021 |
Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression X Dai, Z Yang, M Xu, S Zhang, F Liu, G Hattab, S Hirche European Journal of Control, 101058, 2024 | | 2024 |
Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations Z Yang, X Dai, W Yang, B İlgen, A Anžel, G Hattab arXiv preprint arXiv:2405.00822, 2024 | | 2024 |
Torque-Induced-Overshoot Reduction Inspired Compensator for PMSM using Motor-Physics Embedded Gaussian Process Regression Z Yin, X Dai, Z Yang, Y Shen, F Li, D Xiao, H Zhao Authorea Preprints, 2023 | | 2023 |