Xin Chen

According to our database1, Xin Chen authored at least 30 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




An Intelligent Control Strategy for Iron Ore Sintering Ignition Process Based on the Prediction of Ignition Temperature.
IEEE Trans. Industrial Electronics, 2020

Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process.
Inf. Sci., 2019

Gaussian-kernel-based adaptive critic design using two-phase value iteration.
Inf. Sci., 2019

Two-level intelligent modeling method for the rate of penetration in complex geological drilling process.
Appl. Soft Comput., 2019

Design of An Intelligent Control System for the Drilling Process.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Fuzzy PID Control Based on Working Condition Identification for Mould Level in Continuous Casting Process.
Proceedings of the 12th Asian Control Conference, 2019

A Multilevel Prediction Model of Carbon Efficiency Based on the Differential Evolution Algorithm for the Iron Ore Sintering Process.
IEEE Trans. Industrial Electronics, 2018

Torsional vibration control of drill-string systems with time-varying measurement delays.
Inf. Sci., 2018

Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer.
Neurocomputing, 2018

Model-free optimal containment control of multi-agent systems based on actor-critic framework.
Neurocomputing, 2018

A new bat algorithm based on iterative local search and stochastic inertia weight.
Expert Syst. Appl., 2018

T-S Fuzzy Logic Based Modeling and Robust Control for Burning-Through Point in Sintering Process.
IEEE Trans. Industrial Electronics, 2017

Hybrid multistep modeling for calculation of carbon efficiency of iron ore sintering process based on yield prediction.
Neural Computing and Applications, 2017

A Cascade Prediction Model of CO/CO2 in the Sintering Process.
JACIII, 2017

Intelligent Coordinating Control Between Burn-Through Point and Mixture Bunker Level in an Iron Ore Sintering Process.
JACIII, 2017

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 ore sintering process.
Neurocomputing, 2017

Model-free optimal consensus control for multi-agent systems using kernel-based ADP method.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Performance Study of Neural Network and ANFIS Based MPPT Methods For Grid Connected PV System.
Proceedings of the VI International Conference on Network, Communication and Computingm, 2017

Downhole-friction-estimation-based rotary speed control for drillstring system with stick-slip vibrations.
Proceedings of the 11th Asian Control Conference, 2017

Multi-objective drilling trajectory optimization based on NSGA-II.
Proceedings of the 11th Asian Control Conference, 2017

A model reference adaptive control with ADP-to-SMC strategy for unknown nonlinear systems.
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

Adaptive Critic Design with Local Gaussian Process Models.
JACIII, 2016

Intelligent Nadaboost-ELM Modeling Method for Formation Drillability Using Well Logging Data.
JACIII, 2016

Discrete Wavelet Transfer Based BPNN for Calculating Carbon Efficiency of Sintering Process.
JACIII, 2016

A Review of Recent Developments in Advanced Computational Intelligence and Intelligent Informatics.
JACIII, 2016

Modeling method of carbon efficiency in iron ore sintering process.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

Coordinated learning based on time-sharing tracking framework and Gaussian regression for continuous multi-agent systems.
Eng. Appl. of AI, 2015

Optimal tracking agent: a new framework of reinforcement learning for multiagent systems.
Concurrency and Computation: Practice and Experience, 2013

Optimal Tracking Agent: A New Framework for Multi-agent Reinforcement Learning.
Proceedings of the IEEE 10th International Conference on Trust, 2011