| Networked multirate output feedback control for setpoints compensation and its application to rougher flotation process F Liu, H Gao, J Qiu, S Yin, J Fan, T Chai IEEE Transactions on Industrial Electronics 61 (1), 460-468, 2013 | 146 | 2013 |
| Integrated network-based model predictive control for setpoints compensation in industrial processes T Chai, L Zhao, J Qiu, F Liu, J Fan IEEE Transactions on Industrial Informatics 9 (1), 417-426, 2012 | 92 | 2012 |
| Optimal control for heterogeneous node-based information epidemics over social networks F Liu, M Buss IEEE Transactions on Control of Network Systems 7 (3), 1115-1126, 2020 | 41 | 2020 |
| Sliding mode control of discrete-time switched systems with time-delay X Yu, C Wu, F Liu, L Wu Journal of the Franklin Institute 350 (1), 19-33, 2013 | 38 | 2013 |
| Polarizability, consensusability, and neutralizability of opinion dynamics on coopetitive networks F Liu, D Xue, S Hirche, M Buss IEEE Transactions on Automatic Control 64 (8), 3339-3346, 2018 | 33 | 2018 |
| Fully distributed consensus control for linear multiagent systems: A reduced-order adaptive feedback approach X Li, F Liu, M Buss, S Hirche IEEE Transactions on Control of Network Systems 7 (2), 967-976, 2019 | 31 | 2019 |
| 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 | 30 | 2021 |
| Online identification of piecewise affine systems using integral concurrent learning Y Du, F Liu, J Qiu, M Buss IEEE Transactions on Circuits and Systems I: Regular Papers 68 (10), 4324-4336, 2021 | 22 | 2021 |
| Asymptotic stability of bidirectional associative memory neural networks with time-varying delays via delta operator approach Z Zhao, F Liu, X Xie, X Liu, Z Tang Neurocomputing 117, 40-46, 2013 | 20 | 2013 |
| On the stability of the endemic equilibrium of a discrete-time networked epidemic model F Liu, CUI Shaoxuan, X Li, M Buss IFAC-PapersOnLine 53 (2), 2576-2581, 2020 | 17 | 2020 |
| A semi-supervised learning approach for identification of piecewise affine systems Y Du, F Liu, J Qiu, M Buss IEEE Transactions on Circuits and Systems I: Regular Papers 67 (10), 3521-3532, 2020 | 16 | 2020 |
| Fedxgboost: Privacy-preserving xgboost for federated learning NK Le, Y Liu, QM Nguyen, Q Liu, F Liu, Q Cai, S Hirche arXiv preprint arXiv:2106.10662, 2021 | 15 | 2021 |
| A novel recursive approach for online identification of continuous‐time switched nonlinear systems Y Du, F Liu, J Qiu, M Buss International Journal of Robust and Nonlinear Control 31 (15), 7546-7565, 2021 | 13 | 2021 |
| 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 |
| Optimal control for information diffusion over heterogeneous networks F Liu, M Buss Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016 | 12 | 2016 |
| 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 | 9 | 2022 |
| Robust optimal control of deterministic information epidemics with noisy transition rates F Liu, Z Zhang, M Buss Physica A: Statistical Mechanics and its Applications 517, 577-587, 2019 | 8 | 2019 |
| Discrete-time layered-network epidemics model with time-varying transition rates and multiple resources S Cui, F Liu, H Jardón-Kojakhmetov, M Cao Automatica 159, 111303, 2024 | 7 | 2024 |
| Node-based SIRS model on heterogeneous networks: Analysis and control F Liu, M Buss American Control Conference (ACC), 2016, 2016 | 7 | 2016 |
| 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 | 6 | 2022 |
Sandra HircheTechnical University of MunichVerified email at tum.de
