基本信息：
单要楠, 女，博士、讲师。太阳成集团tyc539的联系方式：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.