Le Liu

Orcid: 0000-0001-8419-1817

Affiliations:
  • Yanshan University, College of Electrical Engineering, Qinhuangdao, China


According to our database1, Le Liu authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Ameliorated grey wolf optimizer with the best and worst orthogonal opposition-based learning.
Soft Comput., February, 2024

Dynamic Harris hawks optimizer based on historical information and tournament strategy and its application in numerical optimization of blast furnace ingredients.
Appl. Soft Comput., 2024

2023
A multi-leader Harris hawks optimizer with adaptive mutation and its application for modeling of silicon content in liquid iron of blast furnace.
Math. Comput. Simul., November, 2023

Improved YOLOv5 Based on Feature Fusion and Attention Mechanism and Its Application in Continuous Casting Slab Detection.
IEEE Trans. Instrum. Meas., 2023

2022
Fixed-time backstepping control based on adaptive super-twisting disturbance observers for a class of nonlinear systems.
Int. J. Control, 2022

A covariance-based Moth-flame optimization algorithm with Cauchy mutation for solving numerical optimization problems.
Appl. Soft Comput., 2022

2020
Modelling and dynamic surface backstepping recursive sliding mode control for the speed and tension system of the reversible cold strip rolling mill.
Int. J. Model. Identif. Control., 2020

Ameliorated moth-flame algorithm and its application for modeling of silicon content in liquid iron of blast furnace based fast learning network.
Appl. Soft Comput., 2020

An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization problems.
Appl. Intell., 2020

Decoupling Predictive Control of Strip Flatness and Thickness of Tandem Cold Rolling Mills Based on Convolutional Neural Network.
IEEE Access, 2020

2019
Hydraulic servo position System of rolling mill based on Improved Extended State observer.
Mechatron. Syst. Control., 2019

Active Disturbance Rejection Control With Self-Adjusting Parameters for Vibration Displacement System of Continuous Casting Mold.
IEEE Access, 2019

Adaptive Nonsingular Terminal Sliding Mode Backstepping Control for the Speed and Tension System of the Reversible Cold Strip Rolling Mill Using Disturbance Observers.
IEEE Access, 2019

2016
Neural-network-based adaptive tracking control for Markovian jump nonlinear systems with unmodeled dynamics.
Neurocomputing, 2016

2015
Decoupling control based on terminal sliding mode and wavelet network for the speed and tension system of reversible cold strip rolling mill.
Int. J. Control, 2015


  Loading...