肖江文 职称：教授
邮箱：jwxiao@mail.hust.edu.cn
研究方向：系统工程


个人简介

1990.9~1994.6 华中理工大学，电力工程系，获学士学位
1994.9~1997.6 华中理工大学，自动控制系，获硕士学位
1997.9~2001.6 华中科技大学，控制科学与工程系，获博士学位


主要研究方向
数据挖掘、智能电网优化调度、分布式优化、正系统等


招生要求
专业需求：控制科学与工程，数学，计算机科学与技术等
招生方向：复杂系统理论方法及应用；系统建模、仿真与优化


代表性成果
[1] A two-stage robust energy sharing management for prosumer microgrid, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2018.**.
[2] Distributed optimization problem for second-order multi-agent systems with event-triggered and time-triggered communication, Journal of the Franklin Institute, DOI: 10.1016/j.jfranklin.2018.02.009.
[3] Output formation-containment of interacted heterogeneous linear systems by distributed hybrid active control, Automatica, Vol. 93, pp. 26-32, July 2018.
[4] Distributed real-time demand response for energy management scheduling in smart grid, International Journal of Electrical Power & Energy Systems, Vol. 99, pp. 233-245, 2018.
[5] Distributed optimisation of second-order multi-agent systems by control algorithm using position-only interaction with time-varying delay, IET Control Theory & Applications, vol. 11, no.15, pp. 2549-2558, 13 October 2017.
[6] Impulsive positive observers and dynamic output-feedback stabilization of positive linear continuous systems, International Journal of Robust and Nonlinear Control, Vol. 27, No. 13, pp. 2275-2291, 2017.
[7] Impulsive multisynchronization of coupled multistable neural networks with time-varying delay, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 7, pp. 1560-1571, 2017.
[8] Output formation-containment of coupled heterogeneous linear systems under intermittent communication, Journal of the Franklin Institute, Vol. 354, No. 1, pp. 392-414, January, 2017.
[9] Consensus in second-order Markovian jump multi-agent systems via impulsive control using sampled information with heterogenous delays, Asian Journal of Control, Vol. 18, No. 5, pp. 1-10, September 2016.
[10] Global synchronization of complex dynamical networks through digital communication with limited data rate, IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 10, pp. 2487-2499, OCTOBER 2015.