A generalized probabilistic monitoring model with both random and sequential data W Yu, M Wu, B Huang, C Lu Automatica 144, 110468, 2022 | 45 | 2022 |
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 | 42 | 2021 |
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 | 39 | 2021 |
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 | 39 | 2018 |
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 | 36 | 2018 |
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 | 32 | 2020 |
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 | 25 | 2021 |
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 | 25 | 2020 |
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 | 23 | 2022 |
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 | 22 | 2021 |
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 | 21 | 2019 |
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 | 20 | 2021 |
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 | 19 | 2022 |
Data augmentation considering distribution discrepancy for fault diagnosis of drilling process with limited samples A Yang, C Lu, W Yu, J Hu, Y Nakanishi, M Wu IEEE Transactions on Industrial Electronics 70 (11), 11774-11783, 2022 | 18 | 2022 |
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 | 18 | 2016 |
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 | 17 | 2022 |
Meticulous process monitoring with multiscale convolutional feature extraction W Yu, M Wu, C Lu Journal of Process Control 106, 20-28, 2021 | 15 | 2021 |
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 | 15 | 2019 |
A novel rate of penetration model based on support vector regression and modified bat algorithm Y Zhou, C Lu, M Zhang, X Chen, M Wu, W Cao IEEE Transactions on Industrial Informatics 19 (5), 6659-6668, 2022 | 12 | 2022 |
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 | 12 | 2017 |