Lecturer, Master Supervisor

Address: No.5 Dongfeng Road, Zhengzhou University of Light Industry, Zhengzhou, Henan, China

E-mail: ynanshan@zzuli.edu.cn

Research Field and Interests:

Stability and control problems of T-S fuzzy systems and Markov jump systems

Educational Backgrounds:

201709--202012, University of Electronic Science and Technology of China, School of Information and Software Engineering, Doctor;

201909--2020.09, University of Waterloo, Department of Applied Mathematics, Joint training of Ph.D candidate;

201509--201707, University of Electronic Science and Technology of China, School of Mathematical Sciences, Master;

201109--201507, Zhongyuan University of Technology, School of  Mathematics and Information Science, Bachelor.

Teaching Courses:

Undergraduate courses: Advanced Mathematics, Numerical Analysis, Elements of Information Theory

Representative Publications (* Corresponding author)

[1] Yao-Nan Shan, Tao Xu, Ying Wang. Mixed semirational solutions in the three-component Lakshmanan-Porsezian-Daniel equation, The European Physical Journal Special Topics, 2025, 234: 5493-5505.

[2] Yao-Nan Shan*, Kun She, Shou-Ming Zhong, Jun Cheng, Yong-Bin Yu, Hong-Yao Deng. Asynchronous H∞ control of Markov jump discrete-time systems with incomplete transition probability and unreliable links, ISA Transactions, 2022, 122: 218-231.

[3] Yao-Nan Shan*, Xin-Zhi Liu, Kun She, Shou-Ming Zhong, Jun Cheng, Xiao-Jun Zhang. Extended dissipative asynchronous filtering for T-S fuzzy switched systems with partial transition descriptions and incomplete measurements, Nonlinear Analysis: Hybrid Systems, 2020, 37: 100906.

[4] Yao-Nan Shan*, Kun She, Shou-Ming Zhong, Jun Cheng, Wen-Yong Wang, Can Zhao. Event-triggered passive control for Markovian jump discrete-time systems with incomplete transition probability and unreliable channels, Journal of the Franklin Institute, 2019, 356: 8093-8117.

[5] Yao-Nan Shan*, Kun She, Shou-Ming Zhong, Jun Cheng, Can Zhao, Qian-Hua Fu. Finite-time boundedness of state estimation for Markovian jump systems with distributed leakage delay and linear fractional uncertainties, International Journal of Systems Sciences, 2019, 50: 2362-2384.

[6] Yao-Nan Shan, Kun She, Shou-Ming Zhong, Qi-Shui Zhong, Can Zhao. Exponential stability and extended dissipativity criteria for generalized discrete-time neural networks with additive time-varying delays, Applied Mathematics and Computation, 2018, 333: 145-168.

[7] Yao-Nan Shan*, Shou-Ming Zhong, Jin-Zhong Cui, Li-Yuan Hou, Yuan-Yuan Li. Improved criteria of delay-dependent stability for discrete-time neural networks with leakage delay, Neurocomputing, 2017, 266: 409-419.

[8] Yao-Nan Shan, Kun She, Shou-Ming Zhong, Tao-Tao Hu, Shi-Qiang Hao, Asynchronous filtering for Takagi-Sugeno fuzzy neural networks with general transition probabilities and missing measurements, 2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics, 2020,4:13.

[9] Jun Cheng,Yao-Nan Shan, Jin-De Cao, Ju-H Park. Nonstationary control for T-S fuzzy Markovian switching systems with variable quantization density, IEEE Transactions on Fuzzy Systems, 2021, 29 (6): 1375-1385.

[10] Jun Cheng,Yao-Nan Shan, Ju-H Park, Recent Advances in Control Problems of Dynamical Systems and Networks (Asynchronous Quantized Control for Markov Switching Systems with Channel Fading), Springer, 2021, 241-263.

Fundings:

1. 202601-202712, Natural Science Foundation of Henan Province, 262300420708, PI.

2. 202501-202612, Key Scientific Research Project of Henan Higher Education Institutions, 25A110004, PI.

Honors:

1. Second Prize of Excellent Scientific and Technological Paper, Yu Jiao [2023]37188, 1/1