韩建
近期热点
资料介绍
个人简历
学习经历大学本科 2004.9-2008.7 沈阳师范大学 理学学士 数学与应用(师范) 全日制硕士研究生 2008.9-2011.1 辽宁工程技术大学 理学硕士 应用数学 全日制博士研究生 2012.9-2017.10 东北大学 工学博士 控制理论与控制工程 全日制工作经历2018年1月至今,鲁东大学数学与统计科学学院近年来获得奖励情况和荣誉称号国际SCI杂志《Neurocomputing》最佳审稿人研究领域
故障诊断与容错控制近期论文
1.Dissipativity-Based Fault Detection for Uncertain Switched Fuzzy Systems with Unmeasurable Premise Variables [J]. IEEE Transactions on Fuzzy Systems, DOI:10.1109/TFUZZ.2019.2900600,(SCI一区,第一作者)2. Robust fault detection for switched fuzzy systems with unknown input[J]. IEEE Transactions on Cybernetics, 2018, 48(11): 3056-3066. (SCI一区,第一作者)3. Fault estimation and fault-tolerant control for switched fuzzy stochastic systems[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(5): 2993-3003. (SCI一区,第一作者)4. Sensor fault estimation of switched fuzzy systems with unknown input[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(3): 1114-1124. (SCI一区,导师第一作者)5. Fault-tolerant control of a nonlinear system based on generalized fuzzy hyperbolic model and adaptive disturbance observer[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(8): 2289-2300. (SCI二区,导师第一作者)6. Reduced-order observer based fault estimation and fault-tolerant control for switched stochastic systems with actuator and sensor faults[J]. ISA transactions, 2018. DOI: https://doi.org/10.1016/j.isatra.2018.11.045.(SCI二区,第一作者)7. Anti-disturbance control for nonlinear system via adaptive disturbance observer[J]. International Journal of Robust and Nonlinear Control, 2017, 27(12): 2121-2144.(SCI二区,第一作者)8. Disturbance observer based fault estimation and dynamic output feedback fault tolerant control for fuzzy systems with local nonlinear models[J]. ISA Transactions, 2015, 59: 114-124.(SCI二区,第一作者)9. Robust state/fault estimation and fault tolerant control for T–S fuzzy systems with sensor and actuator faults[J]. Journal of the Franklin Institute, 2016, 353(2): 615-641.(SCI二区,第一作者)10. Robust fault estimation and accommodation for a class of T-S fuzzy systems with local nonlinear models[J]. Circuits, Systems, and Signal Processing, 2016, 35(10): 3506-3530.(SCI四区,第一作者)11. 基于中间观测器的多智能体系统分布式故障估计[J]. 自动化学报,在线,DOI:10.16383/j.aas.2018.c180179. (EI,通讯作者) 相关热点
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