Name：Jingjing Gao

Title：Lecturer

E-mail：jingjing.gao@ustb.edu.cn

Office：Room 1120A, Mechanical and Electrical Information Building

Education：

2018.9-2023.6, University of Science and Technology Beijing, PhD

2021.12-2022.12, University of Duisburg-Essen, visiting student

2015.9-2018.1, University of Science and Technology Beijing, Master

2011.9-2015.6, University of Science and Technology Beijing, Bachelor

Work Experience：

2023.7-present University of Science and Technology Beijing, Postdoc

Research Interests：

Process monitoring and control, fault diagnosis and fault-tolerant control

Courses：

Selected Publications：

[1]  X. Yang, J. J. Gao, L. L. Li, H. Luo, S. X. Ding, K. X. Peng. Data-driven design of fault-tolerant control systems based on recursive stable image representation, Automatica, 2020, 122: 109246.

[2]  X. Yang, J. J. Gao, B. Huang. Data-driven design of fault detection and isolation method for distributed homogeneous systems, Journal of the Franklin Institute, 2021, 358(9): 4929-4949.

[3]  J. J. Gao, X. Yang, J. Huang, K. X. Peng. A data-driven fault detection and fault-tolerant control scheme for large-scale systems and its application on multi-area interconnected power systems, IET Control Theory and Applications, 2023, 17(4): 400-418.

[4]  J. J. Gao, X. Yang, J. Huang, K. X. Peng. Subspace aided fault-tolerant control for distributed homogeneous systems with symmetric interconnection pattern, International Journal of Control, Automation and Systems, 2023, 21(1): 20-30.

[5]  J. J. Gao, X. Yang, S. L. Zhang, R. Tu, H. J. Ma. Event-triggered distributed model predictive control scheme for temperature regulation in multi-zone air conditioning systems with improved indoor thermal preference indicator, International Journal of Adaptive Control and Signal Processing, 2023, 37(6): 1389-1409. ‬‬‬‬‬‬‬‬‬

[6]  J. J. Gao, X. Yang, L. L. Li, H. Luo, S. X. Ding, K. Zhang, K. X. Peng. Recursive subspace-based predictive control and its application to fault-tolerant control. 10th IFAC on Fault Detection, Supervision and Safety for Technical Processes, 2018, Warsaw, Poland, 2018.08.29-31. ‬‬‬

Selected Projects：

[1]  National Natural Science Foundation of China (61673053): Data-driven design of a performance-based fault-tolerant control system for complex industrial processes, participant

[2]  Beijing Natural Science Foundation, China (4212040): Load forecasting and intelligent control of central air conditioning system under data-driven dynamic environment, participant

[3]  Project for Outstanding Youth Team of USTB (Fundamental Research Funds for the Central Universities) (FRF-EYIT-23-06): Intelligent operation and maintenance for infrastructure in low-carbon industrial parks

Honors & Awards：

[1] 2021 Excellent Phd Student of Beijing Automation Society;

[2] 2021 Zhongtian Steel Special Scholarship of USTB;

[3] 2020 National Scholarship for Studying Abroad awarded by China Scholarship Council (CSC)