徐雍
博士生导师
硕士生导师
教师拼音名称：xuyong
出生日期：1983-09-15
入职时间：2015-12-21
所在单位：自动化学院
学历：博士
性别：男
学位：工学博士学位
职称：教授
在职信息：在职
所属院系：自动化学院
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科学研究
研究领域
理论研究方向：
1. 数据驱动控制：线性二次调节、数据驱动建模、模型预测控制、滚动优化
2. 博弈估计与控制：网络资源分配博弈，网络安全博弈，博弈强化学习，博弈协同控制
应用研究方向：
1. 无人艇组：多无人艇协同规划/控制、水体目标识别、多传感器融合定位与建图
2. 无人机（多旋翼）：水空两栖无人机结构设计与硬件制造、无人机飞控、电机控制
3. FPNG（快速感知与导航组）：多传感器融合定位与建图，高精语义建图，多智能体协同感知与规划，多智能体协同未知空间探索与导航
4. 无人机（固定翼）：变结构水空三栖无人机设计、水空复杂流场建模与智能感知、跨介质飞行器控制与规划
5. 医疗器械：人工智能病灶精准诊疗、柔性器械结构设计、微型伺服驱动控制系统
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论文成果
- 网络化不确定非线性时滞系统的状态估计.中国科学：信息科学,2022,
- Quasi-synchronization of time delay Markovian jump neural networks with impulsive driven transmission and fading channels.IEEE Transactions on Cybernetics,2019,
- Nonfragile finite-time synchronization for coupled neural networks with impulsive approach.IEEE Transactions on Neural Networks and Learning Systems,2020,
- Quasi-synchronization for neural networks with partial constrained state information via intermittent control approach.IEEE Transactions on Cybernetics,2021,
- Distributed Newton Optimization with Maximized Convergence Rate.IEEE Transactions on Automatic Control,2021,
- Filtering for fuzzy systems with multiplicative sensor noises and multi-density quantizer.IEEE Transactions on Fuzzy Systems,2017,
- State estimation for periodic neural networks with uncertain weight matrices and Markovian jump channel states,.IEEE Transactions on Systems, Man, and Cybernetics: Systems,2017,
- Remote estimator design for time-delay neural networks using communication state information.IEEE Transactions on Neural Networks and Learning Systems,2018,
- Finite-horizon H∞ state estimation for time-varying neural networks with periodic inner coupling and measurements scheduling.IEEE Transactions on Systems, Man, and Cybernetics: Systems,,2018,
- State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint.IEEE Transactions on Systems, Man, and Cybernetics: Systems,2020,
专利
著作成果
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