Research Field and Interests：Stability and control problems of T-S fuzzy systems and Markov jump systems

Education Background:

2017.09--2020.12   Ph.D, University of Electronic Science and Technology of China, Software engineering

2019.09--2020.09   Joint training of Ph.D, candidate, University of Waterloo,  Applied mathematics

2015.09--2017.07    Master, University of Electronic Science and Technology of China, Applied mathematics

2011.09--2015.07   Bachelor, Zhongyuan University of Technology    

Mathematics and applied mathematics

Teaching Courses: Advanced Mathematics, Numerical Analysis, Elements of Information Theory

Representative Publications(* Corresponding author)

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] Qian-Hua Fu, Jing-Ye Cai, Shou-Ming Zhong, Yong-Bin Yu, Yao-Nan Shan. Input-to-state stability of discrete-time memristive neural networks with two delay components, Neurocomputing, 2019, 329: 1-11.

Honors:

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