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Kangkang Zhang
Kangkang Zhang
EEE Department, Imperial College London
在 ic.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Sliding mode observer based incipient sensor fault detection with application to high-speed railway traction device
K Zhang, B Jiang, XG Yan, Z Mao
ISA transactions 63, 49-59, 2016
1062016
Incipient voltage sensor fault isolation for rectifier in railway electrical traction systems
K Zhang, B Jiang, XG Yan, Z Mao
IEEE Transactions on Industrial Electronics 64 (8), 6763-6774, 2017
582017
Interval sliding mode observer based incipient sensor fault detection with application to a traction device in China railway high-speed
K Zhang, B Jiang, X Yan, J Shen
IEEE Transactions on Vehicular Technology 68 (3), 2585-2597, 2019
442019
Fault-tolerant control for systems with unmatched actuator faults and disturbances
K Zhang, B Jiang, X Yan, Z Mao, MM Polycarpou
IEEE Transactions on Automatic Control 66 (4), 1725-1732, 2020
412020
Incipient fault detection for traction motors of high-speed railways using an interval sliding mode observer
K Zhang, B Jiang, XG Yan, Z Mao
IEEE Transactions on Intelligent Transportation Systems 20 (7), 2703-2714, 2018
312018
Interval sliding mode observer-based fault accommodation for non-minimum phase LPV systems with online control allocation
K Zhang, B Jiang, X Yan, C Edwards
International Journal of Control 93 (11), 2675-2689, 2020
272020
Identification of sensor replay attacks and physical faults for cyber-physical systems
K Zhang, C Keliris, T Parisini, MM Polycarpou
IEEE Control Systems Letters 6, 1178-1183, 2021
202021
Incipient sensor fault estimation and accommodation for inverter devices in electric railway traction systems
K Zhang, B Jiang, XG Yan, Z Mao
International Journal of Adaptive Control and Signal Processing 31 (5), 785-804, 2017
192017
Stealthy integrity attacks for a class of nonlinear cyber-physical systems
K Zhang, C Keliris, T Parisini, MM Polycarpou
IEEE Transactions on Automatic Control 67 (12), 6723-6730, 2021
162021
Discrimination between replay attacks and sensor faults for cyber-physical systems via event-triggered communication
K Zhang, C Keliris, MM Polycarpou, T Parisini
European Journal of Control 62, 47-56, 2021
152021
Detecting stealthy integrity attacks in a class of nonlinear cyber–physical systems: A backward-in-time approach
K Zhang, C Keliris, MM Polycarpou, T Parisini
Automatica 141, 110262, 2022
132022
Adaptive robust fault-tolerant control for linear MIMO systems with unmatched uncertainties
K Zhang, B Jiang, XG Yan, Z Mao
International Journal of Control 90 (10), 2253-2269, 2017
112017
Incipient fault detection based on robust threshold generators: A sliding mode interval estimation approach
K Zhang, B Jiang, XG Yan, J Shen, X He
IFAC-PapersOnLine 50 (1), 5067-5072, 2017
92017
Interval sliding mode observer based incipient fault detection with application to a high-speed railway traction device
K Zhang, B Jiang, XG Yan, J Shen, Z Mao
2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS …, 2016
82016
Fault tolerant tracking control for quad-rotor helicopter via robust adaptive technique
KK Zhang, D Ye, XG Zhao
Proceedings of the 33rd Chinese Control Conference, 3233-3237, 2014
82014
Passive attack detection for a class of stealthy intermittent integrity attacks
K Zhang, C Keliris, T Parisini, B Jiang, MM Polycarpou
IEEE/CAA Journal of Automatica Sinica 10 (4), 898-915, 2023
72023
A sensor watermarking design for threat discrimination
K Zhang, A Kasis, MM Polycarpou, T Parisini
IFAC-PapersOnLine 55 (6), 433-438, 2022
62022
Enhanced anomaly detector for nonlinear cyber-physical systems against stealthy integrity attacks
K Zhang, MM Polycarpou, T Parisini
IFAC-PapersOnLine 53 (2), 13682-13687, 2020
52020
Model reference robust adaptive H controller design
Q Zhang, DZ Xu, KK Zhan
International Journal of Control, Automation and Systems 15 (4), 1507-1514, 2017
52017
Robust fault-tolerant control design for induction motor with faults and disturbances
H Liu, Z Mao, B Jiang, K Zhang
2016 35th Chinese Control Conference (CCC), 6795-6800, 2016
52016
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