学术成果 (论文、专利、软著等) |
近5年代表论文： [1]Yao Wang, Shengyuan Xu, Choon Ki Ahn. Finite-time composite anti-disturbance control for T-S fuzzy nonhomogeneous Markovian jump systems via asynchronous disturbance observer. IEEE Transactions on Fuzzy Systems,30(11): 5051-5057, 2022. (SCI) [2]Yao Wang, Shengyuan Xu, Choon Ki Ahn. Almost sure finite-time control for Markovian jump systems under asynchronous switching with applications: A sliding mode approach. IEEE Transactions on Circuits and Systems I,69(9): 3726-3735, 2022. (SCI) [3]Yao Wang, Jun Guo, Guobao Liu, Junwei Lu, Fangyuan Li. Finite-time sampled-data synchronization for uncertain neutral-type semi-Markovian jump neural networks with mixed time-varying delays. Applied Mathematics and Computation, 403: 126197, 2021. (SCI) [4]Yao Wang, Shengyuan Xu, Junwei Lu, Zhengqiang Zhang. Asynchronous observer-based finite-time control for nonlinear Markovian jump systems with time-varying delays. Nonlinear Dynamics, 104: 509-521, 2021. (SCI) [5]Yao Wang, Shengyuan Xu, Yongmin Li, Yuming Chu, Zhengqiang Zhang. Asynchronous finite-time state estimation for semi-Markovian jump neural networks with randomly occurred sensor nonlinearities. Neurocomputing, 432: 240-249, 2021. (SCI) [6]Yao Wang, Jun Guo. Finite-time asynchronous dissipative filtering for Markovian jump systems with time-varying delays and randomly occurred nonlinearity. International Journal of Adaptive Control and Signal Processing, 36(4): 926-942, 2022. (SCI) [7]Yao Wang, Jun Guo, Guobao Liu, Junwei Lu, Fangyuan Li. Finite-time extended dissipative filtering for nonlinear Markovian jump systems with unknown transition rates and time-varying delays. Transactions of the Institute of Measurement and Control, 44(5): 973-985, 2022. (SCI) [8]Yao Wang, J. H. Park and J Guo. Dissipative filtering for singular semi-Markovian jump systems with time-varying delays[C]. Proceedings of the 32th Chinese Control and Decision Conference, IEEE, Hefei, Anhui Province, 2020.8.22-8.24, pp. 1062-1067. (EI) |
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