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ORCIDYaonan Shan
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2020 – today
- 2021
[j7]Jun Cheng
, Yaonan Shan, Jinde Cao, Ju H. Park:
Nonstationary Control for T-S Fuzzy Markovian Switching Systems With Variable Quantization Density. IEEE Trans. Fuzzy Syst. 29(6): 1375-1385 (2021)
2010 – 2019
- 2019
- [j6]Qianhua Fu, Jingye Cai, Shouming Zhong, Yongbin Yu, Yaonan Shan:
Input-to-state stability of discrete-time memristive neural networks with two delay components. Neurocomputing 329: 1-11 (2019) - [j5]Yaonan Shan, Kun She, Shouming Zhong, Jun Cheng, Can Zhao, Qianhua Fu:
Finite-time boundedness of state estimation for semi-Markovian jump systems with distributed leakage delay and linear fractional uncertainties. Int. J. Syst. Sci. 50(12): 2362-2384 (2019) - [j4]Yaonan Shan, Kun She, Shouming Zhong, Jun Cheng, Wenyong Wang, Can Zhao:
Event-triggered passive control for Markovian jump discrete-time systems with incomplete transition probability and unreliable channels. J. Frankl. Inst. 356(15): 8093-8117 (2019) - 2018
- [j3]Yaonan Shan, Kun She, Shouming Zhong, Qishui Zhong, Kaibo Shi, Can Zhao:
Exponential stability and extended dissipativity criteria for generalized discrete-time neural networks with additive time-varying delays. Appl. Math. Comput. 333: 145-168 (2018) - 2017
- [j2]Yaonan Shan, Shouming Zhong, Jinzhong Cui, Liyuan Hou, Yuanyuan Li:
Improved criteria of delay-dependent stability for discrete-time neural networks with leakage delay. Neurocomputing 266: 409-419 (2017) - [j1]Taotao Hu, Bo Kang, Yaonan Shan:
基于动态函数连接神经网络的自适应逆控制系统辨识研究 (Study on Identification of Adaptive Inverse Control System Based on Dynamic Function Link Neural Network). 计算机科学 44(10): 203-208 (2017)
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