Zhongda Tian

Orcid: 0000-0003-0379-4048

Affiliations:
  • Shenyang University of Technology, School of Artificial Intelligence, China


According to our database1, Zhongda Tian authored at least 26 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Design of unknown input observer for discrete-time Markov jump systems with unknown input in both state equation and output equation.
Trans. Inst. Meas. Control, 2024

2023
NSGAIII based on utopian point improvements and its application in wastewater treatment process.
Expert Syst. Appl., December, 2023

Analysis and research on chaotic dynamics behaviour of wind power time series at different time scales.
J. Ambient Intell. Humaniz. Comput., February, 2023

2022
Design of unknown input observer for discrete time nonlinear generalized Markov jump systems under fault conditions.
Trans. Inst. Meas. Control, 2022

Predictive control compensation for networked control system with time-delay.
J. Syst. Control. Eng., 2022

Echo state network based on improved fruit fly optimization algorithm for chaotic time series prediction.
J. Ambient Intell. Humaniz. Comput., 2022

A novel network traffic combination prediction model.
Int. J. Commun. Syst., 2022

2021
Approach for Short-Term Traffic Flow Prediction Based on Empirical Mode Decomposition and Combination Model Fusion.
IEEE Trans. Intell. Transp. Syst., 2021

Approach for short-term wind power prediction via kernel principal component analysis and echo state network optimized by improved particle swarm optimization algorithm.
Trans. Inst. Meas. Control, 2021

Deadband feedback-based scheduling approach for networked control system with variable sampling period.
Trans. Inst. Meas. Control, 2021

Network traffic prediction method based on autoregressive integrated moving average and adaptive Volterra filter.
Int. J. Commun. Syst., 2021

Network traffic prediction model based on ensemble empirical mode decomposition and multiple models.
Int. J. Commun. Syst., 2021

Networked control system time-delay compensation based on PI-based dynamic matrix control.
Autom., 2021

Modes decomposition forecasting approach for ultra-short-term wind speed.
Appl. Soft Comput., 2021

2020
Kernel principal component analysis-based least squares support vector machine optimized by improved grey wolf optimization algorithm and application in dynamic liquid level forecasting of beam pump.
Trans. Inst. Meas. Control, 2020

Network traffic prediction method based on wavelet transform and multiple models fusion.
Int. J. Commun. Syst., 2020

Preliminary Research of Chaotic Characteristics and Prediction of Short-Term Wind Speed Time Series.
Int. J. Bifurc. Chaos, 2020

Backtracking search optimization algorithm-based least square support vector machine and its applications.
Eng. Appl. Artif. Intell., 2020

Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM.
Eng. Appl. Artif. Intell., 2020

2018
Mixed-kernel least square support vector machine predictive control based on improved free search algorithm for nonlinear systems.
Trans. Inst. Meas. Control, 2018

SVM predictive control for calcination zone temperature in lime rotary kiln with improved PSO algorithm.
Trans. Inst. Meas. Control, 2018

Scheduling method for networked control system with resource constraints based on fuzzy feedback priority and variable sampling period.
Trans. Inst. Meas. Control, 2018

Coke Oven Flue Temperature Control Based on Improved Implicit Generalized Predictive Control.
J. Adv. Comput. Intell. Intell. Informatics, 2018

2017
Generalized Predictive PID Control for Main Steam Temperature Based on Improved PSO Algorithm.
J. Adv. Comput. Intell. Intell. Informatics, 2017

2016
T-S fuzzy neural network predictive control for burning zone temperature in rotary kiln with improved hierarchical genetic algorithm.
Int. J. Model. Identif. Control., 2016

2015
Networked Control System Time-Delay Compensation Based on Time-Delay Prediction and Improved Implicit GPC.
Algorithms, 2015


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