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Changxin Liu
Changxin Liu
Division of Decision and Control Systems, KTH Royal Institute of Technology
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
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
1262018
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
1182017
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
632019
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
492019
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 (5), 2313-2319, 2017
472017
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
442022
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
292016
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
272020
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
262021
A unitary distributed subgradient method for multi-agent optimization with different coupling sources
C Liu, H Li, Y Shi
Automatica 114, 108834, 2020
23*2020
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
142020
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
122021
Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost
D Ji, J Ren, C Liu, Y Shi
Automatica 134, 109898, 2021
92021
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
92017
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
92016
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
82014
Self-triggered adaptive model predictive control of constrained nonlinear systems: A min–max approach
K Zhang, C Liu, Y Shi
Automatica 142, 110424, 2022
72022
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
62022
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
5*2022
Nonlinear adaptive path following control of an autonomous surface vehicle: Theory and experiments
J Gao, C Liu
NISCAIR-CSIR, India, 2015
52015
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Articles 1–20