Robust self-triggered min–max model predictive control for discrete-time nonlinear systems C Liu, H Li, J Gao, D Xu Automatica 89, 333-339, 2018 | 117 | 2018 |
Aperiodic robust model predictive control for constrained continuous-time nonlinear systems: An event-triggered approach C Liu, J Gao, H Li, D Xu IEEE Transactions on Cybernetics 48 (5), 1397-1405, 2017 | 103 | 2017 |
Distributed event-triggered gradient method for constrained convex minimization C Liu, H Li, Y Shi, D Xu IEEE Transactions on Automatic Control 65 (2), 778-785, 2019 | 53 | 2019 |
Lyapunov-based model predictive control for tracking of nonholonomic mobile robots under input constraints C Liu, J Gao, D Xu International Journal of Control, Automation and Systems 15, 2313-2319, 2017 | 46 | 2017 |
Codesign of Event Trigger and Feedback Policy in Robust Model Predictive Control C Liu, H Li, Y Shi, D Xu IEEE Transactions on Automatic Control 65 (1), 302-309, 2019 | 41 | 2019 |
Improving Fairness for Data Valuation in Horizontal Federated Learning Z Fan, H Fang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2440-2453, 2022 | 27 | 2022 |
Nonlinear model predictive dynamic positioning control of an underwater vehicle with an onboard USBL system J Gao, C Liu, A Proctor Journal of Marine Science and Technology 21, 57-69, 2016 | 26 | 2016 |
Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems C Liu, H Li, Y Shi, D Xu SIAM Journal on Control and Optimization 58 (2), 714-734, 2020 | 23 | 2020 |
A unitary distributed subgradient method for multi-agent optimization with different coupling sources C Liu, H Li, Y Shi Automatica 114, 108834, 2020 | 19* | 2020 |
Towards Fair Federated Learning Z Zhou, L Chu, C Liu, L Wang, J Pei, Y Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 17 | 2021 |
Resource-aware exact decentralized optimization using event-triggered broadcasting C Liu, H Li, Y Shi IEEE Transactions on Automatic Control 66 (7), 2961-2974, 2020 | 13 | 2020 |
Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost D Ji, J Ren, C Liu, Y Shi Automatica 134, 109898, 2021 | 8 | 2021 |
Robust event-triggered model predictive control for straight-line trajectory tracking of underactuated underwater vehicles C Liu, J Gao, G Zhang, D Xu OCEANS 2017-Aberdeen, 1-5, 2017 | 8 | 2017 |
High-gain observer-based model predictive control for cross tracking of underactuated autonomous underwater vehicles G Zhang, W Yan, J Gao, C Liu 2016 IEEE International Conference on Underwater System Technology: Theory …, 2016 | 8 | 2016 |
Backstepping adaptive docking control for a full-actuated autonomous underwater vehicle with onboard USBL system J Gao, C Liu, Y Wang 2014 Oceans-St. John's, 1-6, 2014 | 8 | 2014 |
Achieving Model Fairness in Vertical Federated Learning C Liu, Z Fan, Z Zhou, Y Shi, J Pei, L Chu, Y Zhang arXiv preprint arXiv:2109.08344, 2021 | 7 | 2021 |
Decentralized composite optimization in stochastic networks: A dual averaging approach with linear convergence C Liu, Z Zhou, J Pei, Y Zhang, Y Shi IEEE Transactions on Automatic Control, 2022 | 5 | 2022 |
Nonlinear adaptive path following control of an autonomous surface vehicle: Theory and experiments J Gao, C Liu NISCAIR-CSIR, India, 2015 | 5 | 2015 |
Accelerated dual averaging methods for decentralized constrained optimization C Liu, Y Shi, H Li, W Du IEEE Transactions on Automatic Control 68 (4), 2125-2139, 2022 | 4* | 2022 |
Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties K Zhang, C Liu, Y Shi 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019 | 4 | 2019 |