基本信息：
单要楠, 女，博士、讲师。联系方式：ynanshan@126.com
硕士生导师，中共党员，加拿大滑铁卢大学联合培养博士。主要研究方向：模糊跳变系统的稳定性及控制问题。在ISA Transactions、Nonlinear Analysis: Hybrid Systems、Journal of the Franklin Institute等期刊发表学术论文十余篇。
教育背景：
2019.09--2020.09 联合培养博士 加拿大滑铁卢大学 应用数学
2017.09--2020.12 博士 电子科技大学 软件工程
2015.09--2017.07 硕士 电子科技大学 应用数学
2011.09--2015.07 学士 中原工学院 数学与应用数学
工作履历：
2021.03-至今 郑州轻工业大学 讲师
教授课程：
本科生课程：《高等数学》《数值分析》《信息论基础》
代表性论文(*为通讯作者)
[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.