Mifeng Ren

Orcid: 0000-0001-5062-0521

According to our database1, Mifeng Ren authored at least 27 papers between 2010 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
MMFSL: A Novel Multimodal Few-Shot Learning Framework for Fault Diagnosis of Industrial Bearings.
IEEE Trans. Instrum. Meas., 2023

2022
Performance assessment for non-Gaussian systems by minimum entropy control and dynamic data reconciliation.
J. Frankl. Inst., 2022

Molecular Weight Distribution Control for Polymerization Processes Based on the Moment-Generating Function.
Entropy, 2022

Multi-Sensor Vibration Signal Based Three-Stage Fault Prediction for Rotating Mechanical Equipment.
Entropy, 2022

Short-Term Power Load Forecasting Based on IWOA-Attention-BiLSTM.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process.
J. Frankl. Inst., 2021

2019
Adaptive Filter Approach for GPS Multipath Estimation Under Correntropy Criterion in Dynamic Multipath Environment.
IEEE Trans. Signal Process., 2019

Generalized Correntropy Predictive Control for Waste Heat Recovery Systems Based on Organic Rankine Cycle.
IEEE Access, 2019

2018
SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays.
Entropy, 2018

Data-Driven Superheating Control of Organic Rankine Cycle Processes.
Complex., 2018

Generalized Correntropy Filter-Based Fault Diagnosis and Tolerant Control for Non-Gaussian Stochastic Systems Subject to Sensor Faults.
IEEE Access, 2018

Multipath Estimation Based on Modified ε-Constrained Rank-Based Differential Evolution With Minimum Error Entropy.
IEEE Access, 2018

Comprehensive Analysis of Multipath Estimation Algorithms in the Framework of Information Theoretic Learning.
IEEE Access, 2018

A Survey of the Probability Density Function Control for Stochastic Dynamic Systems.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Multi-scale Local Receptive Field Based Online Sequential Extreme Learning Machine for Material Classification.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2017
Multipath estimation using an intelligent optimization algorithm with non-Gaussian noise.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

2016
Controller design for nonlinear and non-Gaussian multivariable systems based on survival information potential criterion.
J. Frankl. Inst., 2016

Single Neuron Stochastic Predictive PID Control Algorithm for Nonlinear and Non-Gaussian Systems Using the Survival Information Potential Criterion.
Entropy, 2016

Multipath Estimation Based on Centered Error Entropy Criterion for Non-Gaussian Noise.
IEEE Access, 2016

2015
Minimum $({h, \phi })-$ Entropy Control for Non-Gaussian Stochastic Networked Control Systems and Its Application to a Networked DC Motor Control System.
IEEE Trans. Control. Syst. Technol., 2015

2014
Minimized Tracking Error Randomness Control for Nonlinear Multivariate and Non-Gaussian Systems Using the Generalized Density Evolution Equation.
IEEE Trans. Autom. Control., 2014

Minimum Entropy-Based Cascade Control for Governing Hydroelectric Turbines.
Entropy, 2014

2013
Improved Minimum Entropy Filtering for Continuous Nonlinear Non-Gaussian Systems Using a Generalized Density Evolution Equation.
Entropy, 2013

2012
Minimum Error Entropy Filter for Fault Detection of Networked Control Systems.
Entropy, 2012

Statistical Information Based Single Neuron Adaptive Control for Non-Gaussian Stochastic Systems.
Entropy, 2012

Minimum entropy incremental control for nonlinear stochastic systems with non-Gaussian disturbances and uncertain parameters.
Proceedings of the American Control Conference, 2012

2010
New delay-dependent stability criterion for stochastic recurrent neural networks.
Int. J. Model. Identif. Control., 2010


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