Zhiguo WANG
Associate Professor
Department of Automation, School of Internet of Things Engineering, Jiangnan University
Joined Department: 2003
Email: zhiguowang@jiangnan.edu.cn
Phone: +86-510-85326295-807
Education background
Bachelor of Industrial Automation, Taiyuan University of Technology, Taiyuan, Shanxi, China, 2000;
Master of Power Electronics and Power Drives, Jiangsu University, Zhenjiang, Jiangsu, China, 2003;
Ph.D. in Control Theory and Control Engineering, Jiangnan University, Wuxi, Jiangsu, China, 2013.
Areas of Research Interests/ Research Projects
Design of control systems;
Control performance assessment and monitoring; Modeling and diagnosis of valves stiction.
National Natural Science Foundation of China: Distributed finite time domain state estimation of industrial production process (2017-2020);
National Natural Science Foundation of China: Bayesian recursive estimation of dynamic process driven by stochastic mode (2012-2015);
Enterprise project: Data acquisition and management system based on Intelligent wireless network (2013-2014);
Science and Technology Department of Jiangsu province: Software design of control system for production of 150t/d marine fish protein (2012-2013).
Academic Achievement
[1] Zhi-guo Wang, Hui-jian Fan, Fei Liu, Rui xu. A PID Auto-tuning Method for Cascade Control Systems with Disturbance in Secondary Control Loop. Proceedings of 28th China Process Control Conference (CPCC 2017), Chongqing, CHINA., 2017.
[2] Li-li Zheng,Zhi-guo Wang,Fei Liu. Detection of Valve Stiction Fault Using Higher-order Statistics and Fuzzy Clustering,Instrument Technique and Sensor,2017, 10: 23-28.
[3] Hui-jian Fan, Zhi-guo Wang,Fei Liu. A Relay Automatic Tuning of PID Control Systems Triggered by IAE Index, Computer Measurement & Control,2017, 4(25): 66-69.
[4] Zhi-guo Wang, Jun Chen. Feedforward and Feedback Control Performance Assessment for Nonlinear Systems, ABSTRACT AND APPLIED ANALYSIS, 2014, 0(0): 1-12.
[5] Zhi-guo Wang, Fei Liu. Control performance assessment based on ANOVA-like variance decomposition for nonlinear systems, Control and Decision, 2014, 29(4): 725-730.
[6] Zhi-guo Wang, Shun-Yi Zhao, Fei Liu. State estimation for nonlinear stochastic hybrid systems with time-varying transition probabilities. ICIC express letters, part B: applications, 2013, 4(5): 1425-1434.
[7] Shun-Yi Zhao, Zhi-guo Wang, Fei Liu.State Estimation for Nonlinear Discrete-Time Systems with Markov Jumps and Nonhomogeneous Transition Probabilities. Mathematical Problems in Engineering, 2013, 0(0): 1-7.
[8] Zhi-guo Wang, Fei Liu. Performance assessment based on volterra series for a class of nonlinear systems. Computers and Applied Chemistry, 2012, 29(3): 301-304.
[9] Zhi-guo Wang, Fei Liu, Lei Yu. Integration of statistical process monitoring and feedback control: General method based on state space , Control and Decision, 2012, 27(4): 636-640.
[10] Zhi-guo Wang, Fei Liu. Performance assessment strategy based on minimum variance for a class of nonlinear systems. Control and Decision, 2012, 27(10): 1593-1600.
Postgraduate Enrollment (only for Master graduate student)
Professional postgraduate admission: Control Engineering
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