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个人信息Personal Information
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学历：博士研究生毕业
学位：工学博士学位
毕业院校：浙江大学
学科：系统工程
电工理论与新技术
- Correntropy-based parameter estimation for photovoltaic array model considering partial shading condition. 张正江, IET Renewable Power Generation. 2019,13(8)
- Fault detection and diagnosis based on particle filters combined with interactive multiple-model estimation in dynamic process systems. 张正江, ISA Transactions. 2019,85
- Using Clustering Based Logical Equation Set to Decompose Large Scale Chemical Processes for Parallel Solving Data Reconciliation and Parameter Estimation Problem. 张正江, Chemical Engineering Research and Design. 2017,120
- Dynamic Data Reconciliation for Enhancing Performance of Minimum Variance Control in Univariate and Multivariate Systems. 张正江, Industrial & Engineering Chemistry Research. 2016,55
- Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes. 张正江, Computers & Chemical Engineering. 2015,75
- Methodology of Data Reconciliation and Parameter Estimation for Process Systems with Multi-Operating Conditions. 张正江, Chemometrics and Intelligent Laboratory Systems. 2014,137
- Pervasive Knowledge Discovery by Just-in-time Learning to Solve Simultaneous Data Reconciliation and Parameter Estimation of Industrial Processes. 张正江, Industrial & Engineering Chemistry Research. 2014,53(24)
- Simultaneous Data Reconciliation and Gross Error Detection for Dynamic Systems Using Particle Filter and Measurement Test. 张正江, Computers & Chemical Engineering. 2014,69
- Dynamic data reconciliation to enhance the performance of feedforward/feedbackcontrol systems with measurement noise. 张正江, Journal of Process Control. 2021,108:12-14
- Elman Neural Networks Combined with Extended Kalman Filters for Data-Driven Dynamic Data Reconciliation in Nonlinear Dynamic Process Systems. 张正江, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 2021,60(42): 15219-15235
- Dynamic data reconciliation to improve the result of controller performance assessment based on GMVC. 张正江, ISA Transactions. 2021,117:288-302