A Robust Adaptive Version of Evidence-Theoretic k-NN Classification Rule. - Zhi-gang Su; Pei-hong Wang (FSKD (4), 2009)

Data and knowledge driven adaptive evidential soft sensor model for monitoring unmeasured parameters. - Zhi-gang Su; Pei-hong Wang; Xiang-jun Yu; Zhen-zhong Lv (ICONS, 2009)

Immune genetic algorithm-based adaptive evidential model for estimating unmeasured parameter: Estimating levels of coal powder filling in ball mill. - Zhi-gang Su; Pei-hong Wang; Xiang-jun Yu (Expert Syst. Appl., 2010)

A convenient version of T-S fuzzy model with enhanced performance. - Yu-fei Zhang 013; Zhi-gang Su; Pei-hong Wang (FSKD, 2011)

Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty. - Zhi-gang Su; Pei-hong Wang; Jiong Shen; Xiang-jun Yu; Zhen-zhong Lv; Lu Lu (Appl. Soft Comput., 2011)

Maximal confidence intervals of the interval-valued belief structure and applications. - Zhi-gang Su; Pei-hong Wang; Xiang-jun Yu; Zhen-zhong Lv (Inf. Sci., 2011)

Automatic fuzzy partitioning approach using Variable string length Artificial Bee Colony (VABC) algorithm. - Zhi-gang Su; Pei-hong Wang; Jiong Shen; Yi-Guo Li; Yu-fei Zhang 013; En-jun Hu (Appl. Soft Comput., 2012)

Automatic T-S fuzzy model with application to designing predictive controller. - Zhi-gang Su; Pei-hong Wang; Yu-fei Zhang 013 (Comput. Sci. Inf. Syst., 2012)

Minimizing neighborhood evidential decision error for feature evaluation and selection based on evidence theory. - Zhi-gang Su; Pei-hong Wang (Expert Syst. Appl., 2012)

Kernel based nonlinear fuzzy regression model. - Zhi-gang Su; Pei-hong Wang; Zhao-long Song (Eng. Appl. Artif. Intell., 2013)

Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework. - Zhi-gang Su; Yifan Wang; Pei-hong Wang (Int. J. Approx. Reason., 2013)

Mixture data-driven Takagi-Sugeno fuzzy model. - Zhi-gang Su; Babak Rezaee; Pei-hong Wang (FSKD, 2014)

Likelihood-based multivariate fuzzy model with linear inequality constraints. - Zhi-gang Su; Shu-rong Zheng; Pei-hong Wang (J. Intell. Fuzzy Syst., 2014)

Regression analysis of belief functions on interval-valued variables: comparative studies. - Zhi-gang Su; Pei-hong Wang (Soft Comput., 2014)

Constructing T-S fuzzy model from imprecise and uncertain knowledge represented as fuzzy belief functions. - Qian Wang; Zhi-gang Su; Babak Rezaee; Pei-hong Wang (Neurocomputing, 2015)

Constrained fuzzy evidential multivariate model identified by EM algorithm: a soft sensor to monitoring imprecise and uncertain process parameters. - Yong-sheng Hao; Zhi-gang Su; Pei-hong Wang; Ming Zhao (Soft Comput., 2017)

Interval Homogeneity-Based Control for a Class of Nonlinear Systems With Unknown Power Drifts. - Zhi-gang Su; Chunjiang Qian; Jiong Shen (IEEE Trans. Autom. Control., 2017)

E2CM: An Evolutionary Version of Evidential C-Means Clustering Algorithm. - Zhi-gang Su; Hongyu Zhou; Pei-hong Wang; Gang Zhao; Ming Zhao (BELIEF, 2018)

Improved Performance of EK-NNClus by Selecting Appropriate Parameter. - Qian Wang; Zhi-gang Su (BELIEF, 2018)

Global stabilization via sampled-data output feedback for large-scale systems interconnected by inherent nonlinearities. - Zhi-gang Su; Chunjiang Qian; Yong-sheng Hao; Ming Zhao (Autom., 2018)

Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit. - Gang Zhao; Zhi-gang Su; Jun Zhan; Hongxia Zhu; Ming Zhao (Complex., 2018)

Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules. - Zhi-gang Su; Thierry Denoeux; Yong-sheng Hao; Ming Zhao (Knowl. Based Syst., 2018)

BPEC: Belief-Peaks Evidential Clustering. - Zhi-gang Su; Thierry Denoeux (IEEE Trans. Fuzzy Syst., 2019)

Homogeneous Domination Control for Uncertain Nonlinear Systems via Interval Homogeneity With Monotone Degrees. - Gang Zhao; Zhi-gang Su; Zong-Yao Sun; Yuge Sun (IEEE Access, 2020)

Cumulative belief peaks evidential K-nearest neighbor clustering. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang (Knowl. Based Syst., 2020)

An interactive nonparametric evidential regression algorithm with instance selection. - Chaoyu Gong; Pei-hong Wang; Zhi-gang Su (Soft Comput., 2020)

Disturbance Rejection of Nonlinear Boiler-Turbine Unit Using High-Order Sliding Mode Observer. - Zhi-gang Su; Gang Zhao; Jun Yang 011; Yi-Guo Li (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode. - Zhi-gang Su; Hong-Yu Zhou; Yong-sheng Hao (Fuzzy Optim. Decis. Mak., 2021)

Evidential instance selection for K-nearest neighbor classification of big data. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang; Yang You 001 (Int. J. Approx. Reason., 2021)

An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang (Pattern Recognit., 2021)

A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. - Zhi-gang Su; Qinghua Hu; Thierry Denoeux (IEEE Trans. Fuzzy Syst., 2021)

Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances. - Xianhua Gao; Shangshang Wei; Zhi-gang Su (Trans. Inst. Meas. Control, 2021)

Supplementary material for submission "Robust Tuning of Active Disturbance Rejection Controller for Time-delay Systems with Application to A Factual Electrostatic Precipitator". - Zhi-gang Su (IEEE DataPort, 2021)

Distributed EK-NN Classification. - Chaoyu Gong; Zhi-gang Su; Qian Wang; Yang You 001 (BELIEF, 2022)

Evidential Regression by Synthesizing Feature Selection and Parameters Learning. - Chao Liu; Zhi-gang Su; Gang Zhao (BELIEF, 2022)

Evidential Clustering by Competitive Agglomeration. - Lulu Xu; Qian Wang; Pei-hong Wang; Zhi-gang Su (BELIEF, 2022)

Distributed evidential clustering toward time series with big data issue. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Yang You 001 (Expert Syst. Appl., 2022)

Disturbance observer-based composite voltage synchronisation control of three-phase four-leg inverter under load variation. - Yuge Sun; Chuanlin Zhang; Zhi-gang Su (Int. J. Control, 2022)

Robust Tuning of Active Disturbance Rejection Controller for Time-Delay Systems With Application to a Factual Electrostatic Precipitator. - Zhi-gang Su; Yuge Sun; Xiaojin Zhu 005; Zhuo Chen; Li Sun 002 (IEEE Trans. Control. Syst. Technol., 2022)

Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control. - Li Sun 002; Wenchao Xue 001; Donghai Li; Hongxia Zhu; Zhi-gang Su (IEEE Trans. Ind. Electron., 2022)

Robust tuning of uncertainty and disturbance estimator-based control for stable processes with time delay. - Hang Yi; Zhi-gang Su; Pei-hong Wang (J. Frankl. Inst., 2023)

A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang; Yang You 001 (IEEE Trans. Knowl. Data Eng., 2023)

Time-Delay Active Disturbance Rejection Control of Wet Electrostatic Precipitator in Power Plants. - Yuge Sun; Zhi-gang Su; Li Sun 002; Gang Zhao (IEEE Trans Autom. Sci. Eng., 2023)

Adaptive evidential K-NN classification: Integrating neighborhood search and feature weighting. - Chaoyu Gong; Zhi-gang Su; Xinyi Zhang; Yang You 001 (Inf. Sci., 2023)

Incremental Belief-Peaks Evidential Clustering. - Chaoyu Gong; Sihan Wang; Zhi-gang Su (BELIEF, 2024)

Closed-Loop Shaping-Based Active Disturbance Rejection Control With Delay Robustness and Application to Wet Desulfurization Process. - Hang Yi; Zhi-gang Su; Pei-hong Wang (IEEE Trans. Ind. Electron., 2024)

Stability Analysis and Quantitative Tuning of Modified Uncertainty and Disturbance Estimator-Based Control for a Class of Time-Delay Processes. - Zhuo Chen; Yong-sheng Hao; Zhi-gang Su; Beibei Ren; Li Sun 002 (IEEE Trans Autom. Sci. Eng., 2024)

Multi-view evidential K-NN classification. - Chaoyu Gong; Zhi-gang Su; Thierry Denoeux (Inf. Fusion, 2025)

Cascade Disturbance Observer-Based Control Design for Cascaded Systems With Considerable Inner-Loop Dynamics. - Zhuo Chen; Yong-sheng Hao; Zhi-gang Su; Li Sun 002 (IEEE Trans Autom. Sci. Eng., 2025)

Predictor-Based Active Disturbance Rejection Control of Wet Flue Gas Desulfurization System With Delay Robustness and Simplified Tuning. - Zhuo Chen; Yong-sheng Hao; Zhi-gang Su; Gang Zhao; Kwang Y. Lee (IEEE Trans Autom. Sci. Eng., 2025)

Local Normal Space Alignment for Industrial Process Monitoring by Nonisotropic Condition Data. - Tianyang Xing; Mudi Jiang; Zhi-gang Su; Jianqun Xu; Yajie Jing; Yuxiang Ma; Xiaoliang Zhu (IEEE Trans. Instrum. Meas., 2025)

Time-Series Clustering With Dynamic Feature Mining in the Framework of Belief Function Theory. - Yunshu Shi; Chaoyu Gong; Zhi-gang Su (IEEE Trans. Syst. Man Cybern. Syst., 2025)