所在地:四川成都市 入职年份: 资料待完善 学历: 资料待完善 毕业院校: 资料待完善
从事领域 网络
擅长能力 网络化系统协同控制与优化, 最优控制理论, 自适应/近似动态规划算法
西南交通大学信息科学与技术学院自动化系,讲师,工学博士,2016年毕业于东北大学控制理论与控制工程专业。目前主要从事最优控制理论、网络化复杂智能系统协同控制及性能优化相关基础理论研究,相关成果发表在Automatica、IEEE Transactions on Cybernetics、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Systems, Man, and Cybernetics: Systems等权威期刊。 ?讲授课程: 《自动控制原理》《现代控制理论》《最优控制理论与应用》 ?主要理论成果: ✍ 提出连续/离散时间线性多智能体全局最优分布式协同控制的充要条件 ✍ 提出基于标准Riccati方法的离散时间线性多智能体一致性充要条件 ✍ 提出基于数据的离散时间线性多智能体无模型一致性判据 ✍ 提出连续时间线性多智能体全局次优分布式协同控制方法 ✍ 提出连续时间线性多智能体一致性暂态性能设计方法 ?代表性论文: ?Tao Feng, Jilie Zhang, Yin Tong, Huaguang Zhang, Consensusability and global optimality of discrete-time linear multiagent systems, IEEE Transactions on Cybernetics, DOI: 10.1109/ TCYB.2021.3049910, 2021. ? Tao Feng, Jilie Zhang, Yin Tong, Huaguang Zhang, Q-learning algorithm in solving consensusability problem of discrete-time multi-agent systems, Automatica, DOI:10.1016/j.automatica.2021.109576, 2021. ?Jinsong Li, Tao Feng, Jilie Zhang, Fei Yan, Optimal distributed cooperative control for multi-agent systems with constrains on convergence speed and control input, Neurocomputing, 426, 14-25, 2021. ? Jilie Zhang, Tao Feng, Huaguang Zhang, Xiaomin Wang, The decoupling cooperative control with dominant poles assignment, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2020.3011142, 2020 ?Huaguang Zhang, Tao Feng, Hongjing Liang, Yanhong Luo, LQR-based optimal distributed cooperative design for linear discrete-time multiagent systems, IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(3): 599-611. ? Huaguang Zhang, Tao Feng, Guanghong Yang, Hongjing Liang, Distributed cooperative optimal control for multi-agent systems on directed graphs: an inverse optimal approach, IEEE Transactions on Cybernetics, 2015, 45(7): 1315-1326.