Changxin Liu
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
772018
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, 2018
632018
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
272017
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
202019
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 (1), 57-69, 2016
162016
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
132019
A unitary distributed subgradient method for multi-agent optimization with different coupling sources
C Liu, H Li, Y Shi
Automatica 114, 108834, 2020
9*2020
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
82020
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
72014
Resource-aware Exact Decentralized Optimization Using Event-triggered Broadcasting
C Liu, H Li, Y Shi
IEEE Transactions on Automatic Control, 2020
52020
Nonlinear adaptive path following control of an autonomous surface vehicle: Theory and experiments
J Gao, C Liu
NISCAIR-CSIR, India, 2015
52015
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
32019
Towards an O (1/t) convergence rate for distributed dual averaging
C Liu, H Li, Y Shi
IFAC-PapersOnLine 53 (2), 3254-3259, 2020
22020
Accelerated Decentralized Dual Averaging
C Liu, Y Shi, H Li
arXiv preprint arXiv:2007.05141, 2020
12020
Distributed dual subgradient method with double averaging: Application to QoS optimization in wireless networks
C Liu, H Li, Y Shi
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019
12019
Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost
D Ji, J Ren, C Liu, Y Shi
Automatica 134, 109898, 2021
2021
Improving Fairness for Data Valuation in Federated Learning
Z Fan, H Fang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang
arXiv preprint arXiv:2109.09046, 2021
2021
Achieving Model Fairness in Vertical Federated Learning
C Liu, Z Zhou, Y Shi, J Pei, L Chu, Y Zhang
arXiv preprint arXiv:2109.08344, 2021
2021
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
2021
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
C Liu, Z Zhou, J Pei, Y Zhang, Y Shi
arXiv preprint arXiv:2106.14075, 2021
2021
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Articles 1–20