State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower. - Ridong Zhang; Zhixing Cao; Renquan Lu; Ping Li 012; Furong Gao (IEEE Trans Autom. Sci. Eng., 2015)

Online identification for batch processes in closed loop incorporating priori controller knowledge. - Zhixing Cao; Ridong Zhang; Jingyi Lu; Furong Gao (Comput. Chem. Eng., 2016)

Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes. - Zhixing Cao; Ridong Zhang; Yi Yang; Jingyi Lu; Furong Gao (IEEE Trans. Autom. Control., 2016)

Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings. - Zhixing Cao; Hans-Bernd Durr; Christian Ebenbauer; Frank Allgöwer; Furong Gao (IEEE Trans. Autom. Control., 2017)

Online average-based system modelling method for batch process. - Zhixing Cao; Jingyi Lu; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2018)

Fault Detection, Isolation, and Prognosis for Complex System. - Chunhui Zhao 001; Furong Gao; Yuan Yao 002; Zhixing Cao; Yongji Fu (J. Control. Sci. Eng., 2018)

Extremum Seeking Control for Personalized Zone Adaptation in Model Predictive Control for Type 1 Diabetes. - Zhixing Cao; Ravi Gondhalekar; Eyal Dassau; Francis J. Doyle (IEEE Trans. Biomed. Eng., 2018)

A Systematic Min-Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty. - Ridong Zhang; Sheng Wu 003; Zhixing Cao; Jingyi Lu; Furong Gao (IEEE Trans. Control. Syst. Technol., 2018)

Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes. - Jingyi Lu; Zhixing Cao; Ridong Zhang; Furong Gao (IEEE Trans. Ind. Electron., 2018)

Multipoint Iterative Learning Model Predictive Control. - Jingyi Lu; Zhixing Cao; Furong Gao (IEEE Trans. Ind. Electron., 2019)

DelaySSAToolkit.jl: stochastic simulation of reaction systems with time delays in Julia. - Xiaoming Fu 003; Xinyi Zhou 012; Dongyang Gu; Zhixing Cao; Ramon Grima (Bioinform., 2022)

Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics. - Jingyi Lu; Zhixing Cao; Qinran Hu; Zuhua Xu; Wenli Du; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

OpenGCD: Assisting Open World Recognition with Generalized Category Discovery. - Fulin Gao; Weimin Zhong; Zhixing Cao; Xin Peng 003; Zhi Li 067 (CoRR, 2023)

Data-Driven Soft Sensing for Batch Processes Using Neural Network-Based Deep Quality-Relevant Representation Learning. - Qingchao Jiang; Ziwen Wang; Shifu Yan; Zhixing Cao (IEEE Trans. Artif. Intell., 2023)

Semi-supervised soft sensor method for fermentation processes based on physical monotonicity and variational autoencoders. - Xinyue Cheng; Zhenhua Yu; Guan Wang; Qingchao Jiang; Zhixing Cao (Eng. Appl. Artif. Intell., 2024)

Distributed monitoring of nonlinear plant-wide processes based on GA-regularized kernel canonical correlation analysis. - Wenhao Jin; Wenjing Wang; Yang Wang 092; Zhixing Cao; Qingchao Jiang (Reliab. Eng. Syst. Saf., 2024)

Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions. - Dan Yang 011; Xin Peng 003; Cheng Su; Linlin Li 005; Zhixing Cao; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

Defect detection in impeller parts utilising local geometric feature analysis. - Rui Wang; Wei Du; Qingchao Jiang; Zhixing Cao (Int. J. Prod. Res., 2025)

One-Class Classification Constraint in Reconstruction Networks for Multivariate Time Series Anomaly Detection. - Jiazhen Li; Zhenhua Yu; Qingchao Jiang; Zhixing Cao (IEEE Trans. Instrum. Meas., 2025)