フォロー
Chengda Lu
Chengda Lu
確認したメール アドレス: cug.edu.cn
タイトル
引用先
引用先
Energy-to-peak state estimation for static neural networks with interval time-varying delays
C Lu, XM Zhang, M Wu, QL Han, Y He
IEEE Transactions on Cybernetics 48 (10), 2823-2835, 2018
392018
An event-triggered approach to torsional vibration control of drill-string system using measurement-while-drilling data
C Lu, M Wu, L Chen, W Cao
Control Engineering Practice 106, 104668, 2021
352021
Torsional vibration control of drill-string systems with time-varying measurement delays
C Lu, M Wu, X Chen, W Cao, C Gan, J She
Information Sciences 467, 528-548, 2018
312018
A generalized probabilistic monitoring model with both random and sequential data
W Yu, M Wu, B Huang, C Lu
Automatica 144, 110468, 2022
302022
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process
Z Zhang, X Lai, M Wu, L Chen, C Lu, S Du
Journal of Process Control 102, 24-33, 2021
252021
Modeling and control of drill-string system with stick-slip vibrations using LPV technique
J Cheng, M Wu, F Wu, C Lu, X Chen, W Cao
IEEE Transactions on Control Systems Technology 29 (2), 718-730, 2020
232020
Disturbance estimator and smith predictor-based active rejection of stick–slip vibrations in drill-string systems
M Wu, J Cheng, C Lu, L Chen, X Chen, W Cao, X Lai
International Journal of Systems Science 51 (5), 826-838, 2020
212020
Stubborn state estimation for delayed neural networks using saturating output errors
C Lu, M Wu, Y He
IEEE Transactions on Neural Networks and Learning Systems 31 (6), 1982-1994, 2019
202019
Observer‐based trajectory control for directional drilling process
Z Cai, X Lai, M Wu, L Chen, C Lu
Asian Journal of Control 24 (1), 259-272, 2022
182022
Discrimination and correction of abnormal data for condition monitoring of drilling process
A Yang, M Wu, J Hu, L Chen, C Lu, W Cao
Neurocomputing 433, 275-286, 2021
182021
Intelligent Nadaboost-ELM modeling method for formation drillability using well logging data
C Gan, W Cao, M Wu, X Chen, C Lu, Y Hu, G Wen
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2016
182016
An operating performance assessment strategy with multiple modes based on least squares support vector machines for drilling process
H Fan, M Wu, W Cao, X Lai, L Chen, C Lu, S Du, J She
Computers & Industrial Engineering 159, 107492, 2021
162021
Robust mixed-sensitivity H∞ control of weight on bit in geological drilling process with parameter uncertainty
S Ma, M Wu, L Chen, C Lu, W Cao
Journal of the Franklin Institute 358 (13), 6433-6461, 2021
152021
Receding horizon synchronization of delayed neural networks using a novel inequality on quadratic polynomial functions
C Lu, XM Zhang, M Wu, QL Han, Y He
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (10), 6085-6095, 2019
142019
Meticulous process monitoring with multiscale convolutional feature extraction
W Yu, M Wu, C Lu
Journal of Process Control 106, 20-28, 2021
132021
Distributed monitoring with integrated probability PCA and mRMR for drilling processes
H Fan, X Lai, S Du, W Yu, C Lu, M Wu
IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022
112022
A stick-slip vibration suppression method for the drillstring system based on neutral type model
J Cheng, M Wu, C Lu, L Chen, X Chen, W Cao, X Lai
2017 11th Asian Control Conference (ASCC), 2837-2842, 2017
112017
Equivalent-input-disturbance-based robust control of drilling trajectory with weight-on-bit uncertainty in directional drilling
Z Cai, X Lai, M Wu, C Lu, L Chen
ISA transactions 127, 370-382, 2022
102022
A deviation correction strategy based on particle filtering and improved model predictive control for vertical drilling
D Zhang, M Wu, C Lu, L Chen, W Cao
ISA transactions 111, 265-274, 2021
102021
Intelligent drilling mode identification based on drilling state monitoring while drilling
FAN Haipeng, WU Min, CAO Weihua
Exploration Engineering (Rock & Soil Drilling and Tunneling) 47 (4), 106-113, 2020
92020
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