个人信息

教育经历

- 2004-2008 西安交通大学 学士

- 2008-2011 北京大学 硕士

- 2011-2015 德国杜伊斯堡-埃森大学 博士

代表性成果：

1）国家自然科学基金委员会，优秀青年科学基金项目，62322303，面向性能的动态系统故障检测与容错控制，2024/01/01-2026/12/31，200万元，在研，主持

2）国家自然科学基金委员会，面上项目，62073029，面向性能的复杂工业互联系统分布式故障诊断与容错控制研究及应用，2021/01/01-2024/12/31，60万元，结题，主持

3）Linlin Li, Steven X. Ding, Maiying Zhong, Kaixiang Peng, Orthogonal projection-based fault detection for linear discrete-time varying systems,  IEEE Transactions on Automatic Control , 2025, 70(5): 3478-3485.

4）Linlin Li, Steven X. Ding, Jianbin Qiu, Kaixiang Peng, and Ying Yang*, An optimal fault detection approach for piecewise affine systems via diagnostic observers,  Automatica , 2017, 85: 256-263.

5）Linlin Li, Hao Luo, Steven X. Ding, Ying Yang, and Kaixiang Peng, Performance-based fault detection and fault-tolerant control for automatic control systems,  Automatica , 2019, 99: 308-316.

6）Linlin Li^*, and Steven X. Ding, Gap metric techniques and their application to fault detection performance analysis and fault isolation schemes,  Automatica , Regular paper, 2020, 118: 109029.

7）Linlin Li, Steven X. Ding, Chenyang Wang, Maiying Zhong, and Kaixiang Peng. A Distributed Semi-Consensus based Data-Driven Fault Detection Approach for Dynamic Systems.  IEEE Transactions on Industrial Informatics , 2025, 21(3): 2234-2243.

8）Linlin Li, Steven X. Ding, and Xin Peng*, Optimal observer-based fault detection and estimation approaches for T-S fuzzy systems,  IEEE Transactions on Fuzzy Systems , 2022, 30(2): 579-590.

9）Linlin Li, Haili Zhang, Steven X. Ding, Liang Qiao, Kaixiang Peng, and Xin Peng*, Unified solutions to optimal fuzzy observer-based fault detection for discrete-time nonlinear systems,  IEEE Transactions on Fuzzy Systems , 2024, 32(4): 1991-2004.

10）Linlin Li, Xin Chen, Xin Peng, Dan Yang, and Wenjing Liu, A transfer-learning-based fault detection approach for nonlinear industrial processes under unusual operating conditions,  IEEE Transactions on Industrial Informatics , 2024, 20(4): 5374-5382.

在2026世界杯的基础科研条件：

在顺德研究生院拥有实验室一间，具备基本实验设备与条件。

依托2026世界杯科研项目：

佛山市科技创新专项资金项目，大数据与知识双驱动的流程工业质量异常诊断技术，25万，主持。