个人简历

教育背景
2006年9月—2009年6月毕业于江南大学，获得控制理论与控制工程博士学位；2006年7月和2002年7月于山东师范大学分别获得硕士与学士学位；2016年8月—2017年2月于香港科技大学访问学习。
工作背景
2014年7月—至今，在中国石油大学（华东），信息与控制工程学院自动化系工作；
2009年7月—2014年6月于山东科技大学，电气与自动化工程学院工作；2012年12月职称晋升为副教授

研究领域

[1] 系统的稳定性与鲁棒控制
简介：针对实际工程中应用广泛的跳变系统、随机系统以及神经网络系统，研究系统的稳定性与镇定控制、鲁棒H∞控制与H2/H∞控制等问题。
[2] 动态系统的故障诊断与容错控制
简介：动态系统的故障诊断与容错控制是当前国际控制界的热门研究方向，具有重大的理论价值和应用价值，为提高复杂工业系统的可靠性、可维护性和安全性提供了有力的保障

近期论文

[1] M. Gao, L. Sheng, Y. Liu, Z. Zhu, Observer-based H∞ fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts, Neurocomputing, 173, pp. 2001-2008, 2016. (SCI)
[2] M. Gao, L. Sheng, Y. Liu. Robust H∞ control for T-S fuzzy systems subject to missing measurements with uncertain missing probabilities. Neurocomputing, 193, pp. 235-241, 2016. (SCI)
[3] M. Gao, L. Sheng, W. Zhang. Stochastic H2/H∞ control of nonlinear systems with time-delay and state-dependent noise. Applied Mathematics and Computation, 266, pp. 429-440, 2015. (SCI)
[4] M. Gao, W. Zhang, Z. Zhu. H∞ control for nonlinear stochastic systems with time-delay and multiplicative noise. Mathematical Problems in Engineering, Volume 2015, Article ID 382859, 9 pages, 2015. (SCI)
[5] M. Gao, L. Sheng, W. Zhang. Finite horizon H2/H∞ control of time-varying stochastic systems with Markov jumps and (x,u,v)-dependent noise. IET Control Theory and Applications, 8(14), pp. 1354-1363, 2014. (SCI)
[6] M. Gao, C. Fu, W. Zhang. Algorithms to solve stochastic H2/H∞ control with state-dependent noise. Mathematical Problems in Engineering, Volume 2014, Article ID 205967, 9 pages, 2014. (SCI)
[7] M. Gao, L. Sheng, B. Cui. Robust stability of uncertain Markovian jump discrete-time recurrent neural networks with time delays. International Journal of Systems Science, 41(12), pp. 1525-1536, 2010. (SCI)
[8] M. Gao, B. Cui. Global robust exponential stability of discrete-time interval BAM neural networks with time-varying delays. Applied Mathematical Modelling, 33(3), pp. 1270-1284, 2009. (SCI)
[9] M. Gao, B. Cui. Adaptive synchronization in an array of asymmetric coupled neural networks. Chinese Physics B, 18(1), pp. 76-83, 2009. (SCI)
[10] M. Gao, B. Cui. Global robust stability of neural networks with multiple discrete delays and distributed delays. Chaos, Solitons and Fractals, 40(4), pp. 1823-1834, 2009. (SCI)
[11] M. Gao, B. Cui. Robust exponential stability of interval Cohen-Grossberg neural networks with time-varying delays. Chaos, Solitons and Fractals, 40(4), pp. 1914-1928, 2009. (SCI)
[12] M. Gao, B. Cui, X. Lou. Robust exponential stability of Markovian jumping neural networks with time–varying delay. International Journal of Neural Systems, 18(3), pp. 207-218, 2008. (SCI)
[13] 高明, 盛立, 张维海. 离散随机Markov跳跃系统的广义Lyapunov方程解的性质. 控制与决策, 29(9): 1693-1697, 2014. (EI)
[14] 高明, 盛立, 张维海. 基于谱技术的随机系统的区间输出反馈镇定控制. 控制与决策, 27(7), 1101-1104, 2012. (EI)
[15] M. Gao, L. Sheng, W. Zhang. Fuzzy approach to H∞ filtering for delayed nonlinear stochastic systems. Proceedings of the 33rd Chinese Control Conference, pp. 5306-5310, Nanjing, China, July 28-30, 2014. (EI)
[16] M. Gao, L. Sheng, W. Zhang. Novel delay-dependent synchronization criteria for chaotic Lur'e systems. Proceedings of the 32nd Chinese Control Conference, pp. 1146-1151, Xi’an, China, July 26-28, 2013. (EI)
[17] M. Gao, L. Sheng. Delay-dependent stability for uncertain stochastic neural networks with distributed delays. Proceedings of the 10th World Congress on Intelligent Control and Automation, 1495-1500, Beijing, China, July 6-8, 2012. (EI)
[18] 高明，盛立，张维海. 基于T-S模糊模型的非线性随机系统的H∞控制. 第31届中国控制会议论文集, 1580-1584, 合肥, 中国, 7月25-27日, 2012. (EI)