Concurrent learning-based adaptive control of an uncertain robot manipulator with guaranteed safety and performance C Li, F Liu, Y Wang, M Buss IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (5), 3299-3313, 2021 | 35 | 2021 |
Adaptive incremental sliding mode control for a robot manipulator Y Wang, Z Zhang, C Li, M Buss Mechatronics 82, 102717, 2022 | 25 | 2022 |
Instantaneous local control barrier function: An online learning approach for collision avoidance C Li, Z Zhang, A Nesrin, Q Liu, F Liu, M Buss arXiv preprint arXiv:2106.05341, 2021 | 13 | 2021 |
Model‐free incremental adaptive dynamic programming based approximate robust optimal regulation C Li, Y Wang, F Liu, Q Liu, M Buss International Journal of Robust and Nonlinear Control 32 (5), 2662-2682, 2022 | 10 | 2022 |
Off-Policy Risk-Sensitive Reinforcement Learning Based Constrained Robust Optimal Control C Li, Q Liu, Z Zhou, M Buss, F Liu IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (4), 2478 - 2491, 2022 | 7 | 2022 |
Off policy risk sensitive reinforcement learning based optimal tracking control with prescribe performances C Li, Y Wang, F Liu, M Buss arXiv preprint arXiv:2009.00476, 2020 | 1 | 2020 |
Safe Planning and Control Under Uncertainty: A Model-Free Design With One-Step Backward Data C Li, Q Liu, J Qin, M Buss, S Hirche IEEE Transactions on Industrial Electronics 71 (1), 729-738, 2023 | | 2023 |
Towards Safe Learning Control under Uncertainty with Guaranteed Performance C Li Technische Universität München, 2022 | | 2022 |
Incremental Adaptive Dynamic Programming for Approximate Optimal Tracking Control: a Decoupled and Model-Free Approach. C Li, Y Wang, F Liu, M Buss CoRR, 2021 | | 2021 |