Chengda Lu
Orcid: 0000-0002-9452-4053
According to our database1,
Chengda Lu
authored at least 40 papers
between 2016 and 2024.
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Bibliography
2024
Two-Dimensional Repetitive Control of Uncertain Takagi-Sugeno Systems Based on a New Equivalent-Input-Disturbance Estimator.
IEEE Trans. Fuzzy Syst., April, 2024
Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process.
IEEE Trans. Ind. Informatics, February, 2024
Statistics Pattern Cointegration Analysis-Based Bit Bounce Detection for Drilling Process.
IEEE Trans. Ind. Electron., February, 2024
2023
Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples.
IEEE Trans. Ind. Electron., November, 2023
Suppressing Coupled Axial-Torsional Vibration of Drill-String System Considering Regenerative Cutting Induced Delay and Actuator Saturation.
IEEE Trans. Ind. Electron., November, 2023
Learning-Enabled Output-Feedback-MPC-Based Synchronization Tracking Control of Multiaxis Motion Systems.
IEEE Trans. Ind. Electron., July, 2023
A Novel Rate of Penetration Model Based on Support Vector Regression and Modified Bat Algorithm.
IEEE Trans. Ind. Informatics, May, 2023
Drill-String Dynamics Model of Horizontal Coal Mine Wells Considering Intermittent Borehole Wall Contact.
J. Adv. Comput. Intell. Intell. Informatics, March, 2023
Disturbance rejection of T-S fuzzy systems: a membership function-dependent EID method.
Int. J. Syst. Sci., February, 2023
Analysis of Coupled Axial-Torsional Drill-String Vibration Based on Fuzzy Bit-Rock Interaction Model Considering Bit Balling Condition.
IEEE Trans. Ind. Informatics, 2023
A Trajectory Tracking Method using Dynamic Sliding Mode Control with Parameter Optimization for Autonomous Underwater Vehicles.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
2022
Bit Bounce Detection and Alarm Optimization Based on Domain Generalization for Drilling Process.
IEEE Trans. Instrum. Meas., 2022
Distributed Monitoring With Integrated Probability PCA and mRMR for Drilling Processes.
IEEE Trans. Instrum. Meas., 2022
Tube-Based Adaptive Model Predictive Control for Deviation Correction in Vertical Drilling Process.
IEEE Trans. Ind. Electron., 2022
A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability.
Int. J. Syst. Sci., 2022
Autom., 2022
Axial-torsional coupled drill-string vibration analysis based on the bit-rock interaction model considering the drilling fluid factor.
Proceedings of the 13th Asian Control Conference, 2022
2021
Receding Horizon Synchronization of Delayed Neural Networks Using a Novel Inequality on Quadratic Polynomial Functions.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Modeling and Control of Drill-String System With Stick-Slip Vibrations Using LPV Technique.
IEEE Trans. Control. Syst. Technol., 2021
Robust mixed-sensitivity H∞ control of weight on bit in geological drilling process with parameter uncertainty.
J. Frankl. Inst., 2021
Intelligent Compensating Method for MPC-Based Deviation Correction with Stratum Uncertainty in Vertical Drilling Process.
J. Adv. Comput. Intell. Intell. Informatics, 2021
Trajectory Azimuth Control Based on Equivalent Input Disturbance Approach for Directional Drilling Process.
J. Adv. Comput. Intell. Intell. Informatics, 2021
Discrimination and correction of abnormal data for condition monitoring of drilling process.
Neurocomputing, 2021
An operating performance assessment strategy with multiple modes based on least squares support vector machines for drilling process.
Comput. Ind. Eng., 2021
Robust control of weight on bit in unified experimental system combining process model and laboratory drilling rig.
Proceedings of the IECON 2021, 2021
Process monitoring based on probabilistic principal component analysis for drilling process.
Proceedings of the IECON 2021, 2021
2020
Stubborn State Estimation for Delayed Neural Networks Using Saturating Output Errors.
IEEE Trans. Neural Networks Learn. Syst., 2020
Disturbance estimator and smith predictor-based active rejection of stick-slip vibrations in drill-string systems.
Int. J. Syst. Sci., 2020
Disturbance rejection of two-dimensional repetitive control system based on T-S fuzzy model.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Proceedings of the 12th Asian Control Conference, 2019
2018
Energy-to-Peak State Estimation for Static Neural Networks With Interval Time-Varying Delays.
IEEE Trans. Cybern., 2018
Torsional vibration control of drill-string systems with time-varying measurement delays.
Inf. Sci., 2018
Extended Dissipativity Analysis of Delayed Memristive Neural Networks Based on A Parameter-Dependent Lyapunov Functional.
Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018
2017
Downhole-friction-estimation-based rotary speed control for drillstring system with stick-slip vibrations.
Proceedings of the 11th Asian Control Conference, 2017
A stick-slip vibration suppression method for the drillstring system based on neutral type model.
Proceedings of the 11th Asian Control Conference, 2017
2016
A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification.
Mob. Inf. Syst., 2016
Intelligent Nadaboost-ELM Modeling Method for Formation Drillability Using Well Logging Data.
J. Adv. Comput. Intell. Intell. Informatics, 2016
A Task Scheduling Method for Energy-Efficient Cloud Video Surveillance System Using a Time-Clustering-Based Genetic Algorithm.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016