Cikkek nyilvánosan hozzáférhető megbízással - Xin Chen (陈鑫)További információ
Sehol sem hozzáférhető: 98
A new bat algorithm based on iterative local search and stochastic inertia weight
C Gan, W Cao, M Wu, X Chen
Expert Systems with Applications 104, 202-212, 2018
Megbízások: National Natural Science Foundation of China
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
C Gan, WH Cao, M Wu, X Chen, YL Hu, KZ Liu, FW Wang, SB Zhang
Journal of Petroleum Science and Engineering 181, 106200, 2019
Megbízások: National Natural Science Foundation of China
Two-level intelligent modeling method for the rate of penetration in complex geological drilling process
C Gan, W Cao, M Wu, KZ Liu, X Chen, Y Hu, F Ning
Applied Soft Computing 80, 592-602, 2019
Megbízások: National Natural Science Foundation of China
Model-free distributed consensus control based on actor–critic framework for discrete-time nonlinear multiagent systems
W Wang, X Chen, H Fu, M Wu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4123-4134, 2018
Megbízások: National Natural Science Foundation of China
Modeling and optimization method featuring multiple operating modes for improving carbon efficiency of iron ore sintering process
X Chen, X Chen, M Wu, J She
Control Engineering Practice 54, 117-128, 2016
Megbízások: National Natural Science Foundation of China
A hybrid time series prediction model based on recurrent neural network and double joint linear–nonlinear extreme learning network for prediction of carbon efficiency in iron …
X Chen, X Chen, J She, M Wu
Neurocomputing 249, 128-139, 2017
Megbízások: National Natural Science Foundation of China
A hybrid just-in-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end
X Chen, X Chen, J She, M Wu
Journal of Process Control 54, 14-24, 2017
Megbízások: National Natural Science Foundation of China
T–S fuzzy logic based modeling and robust control for burning-through point in sintering process
X Chen, J Hu, M Wu, W Cao
IEEE Transactions on Industrial Electronics 64 (12), 9378-9388, 2017
Megbízások: National Natural Science Foundation of China
A novel rate of penetration prediction model with identified condition for the complex geological drilling process
Y Zhou, X Chen, H Zhao, M Wu, W Cao, Y Zhang, H Liu
Journal of Process Control 100, 30-40, 2021
Megbízások: National Natural Science Foundation of China
MRAC for unknown discrete-time nonlinear systems based on supervised neural dynamic programming
H Fu, X Chen, W Wang, M Wu
Neurocomputing 384, 130-141, 2020
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
Multisource wind speed fusion method for short-term wind power prediction
J An, F Yin, M Wu, J She, X Chen
IEEE Transactions on Industrial Informatics 17 (9), 5927-5937, 2020
Megbízások: National Natural Science Foundation of China
Data-driven adaptive dynamic programming for partially observable nonzero-sum games via Q-learning method
W Wang, X Chen, H Fu, M Wu
International Journal of Systems Science 50 (7), 1338-1352, 2019
Megbízások: National Natural Science Foundation of China
Model-free optimal containment control of multi-agent systems based on actor-critic framework
W Wang, X Chen
Neurocomputing 314, 242-250, 2018
Megbízások: National Natural Science Foundation of China
Multi-objective drilling trajectory optimization using decomposition method with minimum fuzzy entropy-based comprehensive evaluation
W Huang, M Wu, L Chen, X Chen, W Cao
Applied Soft Computing 107, 107392, 2021
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
Finite‐time consensus problem for second‐order multi‐agent systems under switching topologies
F Wang, X Chen, Y He, M Wu
Asian Journal of Control 19 (5), 1756-1766, 2017
Megbízások: National Natural Science Foundation of China
Hybrid multistep modeling for calculation of carbon efficiency of iron ore sintering process based on yield prediction
X Chen, X Chen, J She, M Wu
Neural Computing and Applications 28, 1193-1207, 2017
Megbízások: National Natural Science Foundation of China
Multi-model ensemble prediction model for carbon efficiency with application to iron ore sintering process
J Hu, M Wu, X Chen, W Cao, W Pedrycz
Control Engineering Practice 88, 141-151, 2019
Megbízások: National Natural Science Foundation of China
Dynamic cluster members scheduling for target tracking in sensor networks
B Wu, YP Feng, HY Zheng, X Chen
IEEE Sensors Journal 16 (19), 7242-7249, 2016
Megbízások: National Natural Science Foundation of China
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