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Shengnan Tian
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2020 – today
- 2024
- [j10]Zhejiaqi Ma, Kanghui Zeng, Yibing Wang, Shengnan Tian, Chengda Lu, Yawu Wang, Min Wu:
Enhancing disturbance rejection in offshore drilling platforms: a dynamic positioning control scheme using equivalent-input-disturbance method with separated observers. Int. J. Syst. Sci. 55(14): 2838-2856 (2024) - [j9]Shengnan Tian
, Kang-Zhi Liu
A switching approach to repetitive control for Takagi-Sugeno fuzzy systems. Inf. Sci. 678: 120944 (2024) - [j8]Shengnan Tian
Two-Dimensional Repetitive Control of Uncertain Takagi-Sugeno Systems Based on a New Equivalent-Input-Disturbance Estimator. IEEE Trans. Fuzzy Syst. 32(4): 2366-2377 (2024) - [j7]Manli Zhang
Improved Disturbance Rejection in Repetitive-Control Systems: Phase-Compensated Equivalent-Input-Disturbance Approach. IEEE Trans. Ind. Electron. 71(10): 12942-12951 (2024) - [j6]Yibing Wang
An Adaptive Integral Sliding Mode Control-Based Amplitude and Phase Compensation Repetitive Control Method. IEEE Trans. Ind. Electron. 71(12): 16644-16653 (2024) - 2023
- [j5]Shengnan Tian
Disturbance rejection of T-S fuzzy systems: a membership function-dependent EID method. Int. J. Syst. Sci. 54(3): 618-632 (2023) - [j4]Xiang Li, Shengnan Tian, Hongguang Ma, Haitao Yu:
Multi-mode vehicle scheduling and routing for surging passenger flow management: from the perspective of urban traffic brain. J. Ambient Intell. Humaniz. Comput. 14(7): 9781-9791 (2023) - 2022
- [j3]Shengnan Tian, Xiang Li
A short-turning strategy to alleviate bus bunching. J. Ambient Intell. Humaniz. Comput. 13(1): 117-128 (2022) - 2021
- [j2]Shengnan Tian:
A Short-Turning Strategy for the Management of Bus Bunching Considering Variable Spatial-Temporal Running Time. J. Uncertain Syst. 14(3): 2150020:1-2150020:19 (2021) - 2020
- [j1]Manli Zhang
Optimisation of control and learning actions for a repetitive-control system based on Takagi-Sugeno fuzzy model. Int. J. Syst. Sci. 51(15): 3030-3043 (2020) - [c1]Shengnan Tian
Disturbance rejection of two-dimensional repetitive control system based on T-S fuzzy model. CDC 2020: 6094-6099
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