His primary areas of investigation include Control theory, Batch processing, Iterative learning control, Control theory and Control engineering. Control theory and Mathematical optimization are frequently intertwined in his study. Iterative learning control is closely attributed to Interval in his study.
The various areas that Furong Gao examines in his Control theory study include Stability, Process control and Molding. The study incorporates disciplines such as Control and Setpoint in addition to Control engineering. His work deals with themes such as Process modeling, Algorithm, Nonlinear system and Fault detection and isolation, which intersect with Principal component analysis.
Furong Gao mainly focuses on Control theory, Batch processing, Iterative learning control, Control theory and Molding. The Control theory study combines topics in areas such as Control engineering, Process control and Model predictive control. His Control engineering research integrates issues from Control and Robustness.
The concepts of his Iterative learning control study are interwoven with issues in Fault tolerance, Stability, Mathematical optimization and Interval. Furong Gao has researched Molding in several fields, including Mechanical engineering and Mold. In his work, Artificial intelligence is strongly intertwined with Fault, which is a subfield of Data mining.
His primary scientific interests are in Control theory, Iterative learning control, Nonlinear system, Batch processing and Model predictive control. Furong Gao has included themes like Fault tolerance and Control in his Control theory study. Furong Gao studied Control and Control engineering that intersect with Process control.
His Iterative learning control study combines topics from a wide range of disciplines, such as Stability, Upper and lower bounds, Exponential stability and State. His Nonlinear system research is multidisciplinary, incorporating perspectives in Artificial neural network, Mathematical optimization and Trajectory. His Model predictive control research includes themes of State-space representation and State space.
Furong Gao mostly deals with Control theory, Batch processing, Iterative learning control, Fault detection and isolation and Battery. His research on Control theory frequently connects to adjacent areas such as State. His study on Batch processing is intertwined with other disciplines of science such as Residual and Scheme.
His work carried out in the field of Iterative learning control brings together such families of science as Fault tolerance, Upper and lower bounds and Fuzzy logic. His research in Fault detection and isolation intersects with topics in Algorithm, Principal component analysis and Data mining. His Data mining study integrates concerns from other disciplines, such as Quality, Selection, Partial least squares regression, Key and Process.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Review of Recent Research on Data-Based Process Monitoring
Zhiqiang Ge;Zhihuan Song;Furong Gao.
Industrial & Engineering Chemistry Research (2013)
Survey on iterative learning control, repetitive control, and run-to-run control
Youqing Wang;Furong Gao;Francis J. Doyle.
Journal of Process Control (2009)
Sub‐PCA modeling and on‐line monitoring strategy for batch processes
Ningyun Lu;Furong Gao;Fuli Wang.
Aiche Journal (2004)
A survey on multistage/multiphase statistical modeling methods for batch processes
Yuan Yao;Furong Gao.
Annual Reviews in Control (2009)
Comparison of Ti/BDD and Ti/SnO2-Sb2O5 electrodes for pollutant oxidation
Xueming Chen;Xueming Chen;Furong Gao;Guohua Chen.
Journal of Applied Electrochemistry (2005)
Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system
Jia Shi;Furong Gao;Tie-Jun Wu.
Journal of Process Control (2005)
High-performance Ti/BDD electrodes for pollutant oxidation.
Xijeming Chen;Guohua Chen;Furong Gao;Po Lock Yue.
Environmental Science & Technology (2003)
Robust iterative learning control with applications to injection molding process
Furong Gao;Yi Yang;Cheng Shao.
Chemical Engineering Science (2001)
Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays
Li Yu;Furong Gao.
Journal of The Franklin Institute-engineering and Applied Mathematics (2001)
Adaptive control of chaotic continuous-time systems with delay
Yu-Chu Tian;Furong Gao.
Physica D: Nonlinear Phenomena (1998)
Hangzhou Dianzi University
Zhejiang University
Zhejiang University
Queensland University of Technology
Hong Kong Polytechnic University
Zhejiang University
University of Stuttgart
Hong Kong University of Science and Technology
Shandong University of Science and Technology
Zhejiang University of Technology
Profile was last updated on December 6th, 2021.
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