Zhi-gang Su

Orcid: 0000-0002-2221-1533

According to our database1, Zhi-gang Su authored at least 47 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Stability Analysis and Quantitative Tuning of Modified Uncertainty and Disturbance Estimator-Based Control for a Class of Time-Delay Processes.
IEEE Trans Autom. Sci. Eng., October, 2024

Closed-Loop Shaping-Based Active Disturbance Rejection Control With Delay Robustness and Application to Wet Desulfurization Process.
IEEE Trans. Ind. Electron., June, 2024

Incremental Belief-Peaks Evidential Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2024

2023
Adaptive evidential <i>K</i>-NN classification: Integrating neighborhood search and feature weighting.
Inf. Sci., November, 2023

Time-Delay Active Disturbance Rejection Control of Wet Electrostatic Precipitator in Power Plants.
IEEE Trans Autom. Sci. Eng., October, 2023

A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., June, 2023

Robust tuning of uncertainty and disturbance estimator-based control for stable processes with time delay.
J. Frankl. Inst., March, 2023

2022
Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control.
IEEE Trans. Ind. Electron., 2022

Robust Tuning of Active Disturbance Rejection Controller for Time-Delay Systems With Application to a Factual Electrostatic Precipitator.
IEEE Trans. Control. Syst. Technol., 2022

Disturbance observer-based composite voltage synchronisation control of three-phase four-leg inverter under load variation.
Int. J. Control, 2022

Distributed evidential clustering toward time series with big data issue.
Expert Syst. Appl., 2022

Evidential Clustering by Competitive Agglomeration.
Proceedings of the Belief Functions: Theory and Applications, 2022

Evidential Regression by Synthesizing Feature Selection and Parameters Learning.
Proceedings of the Belief Functions: Theory and Applications, 2022

Distributed EK-NN Classification.
Proceedings of the Belief Functions: Theory and Applications, 2022

2021
Supplementary material for submission "Robust Tuning of Active Disturbance Rejection Controller for Time-delay Systems with Application to A Factual Electrostatic Precipitator".
Dataset, February, 2021

Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances.
Trans. Inst. Meas. Control, 2021

A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification.
IEEE Trans. Fuzzy Syst., 2021

An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods.
Pattern Recognit., 2021

Evidential instance selection for <i>K</i>-nearest neighbor classification of big data.
Int. J. Approx. Reason., 2021

Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode.
Fuzzy Optim. Decis. Mak., 2021

2020
Disturbance Rejection of Nonlinear Boiler-Turbine Unit Using High-Order Sliding Mode Observer.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An interactive nonparametric evidential regression algorithm with instance selection.
Soft Comput., 2020

Cumulative belief peaks evidential <i>K</i>-nearest neighbor clustering.
Knowl. Based Syst., 2020

Homogeneous Domination Control for Uncertain Nonlinear Systems via Interval Homogeneity With Monotone Degrees.
IEEE Access, 2020

2019
BPEC: Belief-Peaks Evidential Clustering.
IEEE Trans. Fuzzy Syst., 2019

2018
Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules.
Knowl. Based Syst., 2018

Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit.
Complex., 2018

Global stabilization via sampled-data output feedback for large-scale systems interconnected by inherent nonlinearities.
Autom., 2018

Improved Performance of EK-NNClus by Selecting Appropriate Parameter.
Proceedings of the Belief Functions: Theory and Applications, 2018

E2CM: An Evolutionary Version of Evidential C-Means Clustering Algorithm.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
Interval Homogeneity-Based Control for a Class of Nonlinear Systems With Unknown Power Drifts.
IEEE Trans. Autom. Control., 2017

Constrained fuzzy evidential multivariate model identified by EM algorithm: a soft sensor to monitoring imprecise and uncertain process parameters.
Soft Comput., 2017

2015
Constructing T-S fuzzy model from imprecise and uncertain knowledge represented as fuzzy belief functions.
Neurocomputing, 2015

2014
Regression analysis of belief functions on interval-valued variables: comparative studies.
Soft Comput., 2014

Likelihood-based multivariate fuzzy model with linear inequality constraints.
J. Intell. Fuzzy Syst., 2014

Mixture data-driven Takagi-Sugeno fuzzy model.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013
Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework.
Int. J. Approx. Reason., 2013

Kernel based nonlinear fuzzy regression model.
Eng. Appl. Artif. Intell., 2013

2012
Minimizing neighborhood evidential decision error for feature evaluation and selection based on evidence theory.
Expert Syst. Appl., 2012

Automatic T-S fuzzy model with application to designing predictive controller.
Comput. Sci. Inf. Syst., 2012

Automatic fuzzy partitioning approach using Variable string length Artificial Bee Colony (VABC) algorithm.
Appl. Soft Comput., 2012

2011
Maximal confidence intervals of the interval-valued belief structure and applications.
Inf. Sci., 2011

Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty.
Appl. Soft Comput., 2011

A convenient version of T-S fuzzy model with enhanced performance.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Immune genetic algorithm-based adaptive evidential model for estimating unmeasured parameter: Estimating levels of coal powder filling in ball mill.
Expert Syst. Appl., 2010

2009
Data and knowledge driven adaptive evidential soft sensor model for monitoring unmeasured parameters.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

A Robust Adaptive Version of Evidence-Theoretic k-NN Classification Rule.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009


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