Paper Publications

• [11]Unscented Kalman Filter-Based Robust State and Parameter Estimation for Free Radical Polymerization of Styrene with Variable Parameters. zhangzhengjiang, Polymers. 2022,14(5): 973
• [12]Programming Strategies of Sequential Incremental-Scale Sub-problems for Large Scale Data Reconciliation and Parameter Estimation with Multi-Operational Conditions. zhangzhengjiang, Industrial & Engineering Chemistry Research. 2015,54(21)
• [13]Correntropy based data reconciliation and gross error detection for bilinear systems. zhangzhengjiang, Chemical Engineering Science. 2020,212
• [14]Robust extended Kalman filter based state estimation for nonlinear dynamic processes with measurements corrupted by gross errors. zhangzhengjiang, Journal of The Taiwan Institute of Chemical Engineers. 2020,106
• [15]Enhancing performance of generalized minimum variance control via dynamic data reconciliation. zhangzhengjiang, JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS. 2019,356(15)
• [16]Correntropy-based parameter estimation for photovoltaic array model considering partial shading condition. zhangzhengjiang, IET Renewable Power Generation. 2019,13(8)
• [17]Fault detection and diagnosis based on particle filters combined with interactive multiple-model estimation in dynamic process systems. zhangzhengjiang, ISA Transactions. 2019,85
• [18]Using Clustering Based Logical Equation Set to Decompose Large Scale Chemical Processes for Parallel Solving Data Reconciliation and Parameter Estimation Problem. zhangzhengjiang, Chemical Engineering Research and Design. 2017,120
• [19]Dynamic Data Reconciliation for Enhancing Performance of Minimum Variance Control in Univariate and Multivariate Systems. zhangzhengjiang, Industrial & Engineering Chemistry Research. 2016,55
• [20]Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes. zhangzhengjiang, Computers & Chemical Engineering. 2015,75