个人简介
教育背景
2006/09－2010/03，江南大学，通信与控制工程学院，博士
2008/10－2009/10, University of Maryland, College Park, U. S., 联合培养博士
2003/09－2006/07，山东师范大学，信息科学与工程学院，硕士
1999/09－2003/07，山东师范大学，信息管理学院，学士
工作背景
2015/03－2016/03，Brunel University London, U.K., 青年骨干教师
2013/01－至今, 中国石油大学（华东），信息与控制工程学院，自动化系，副教授
2010/04－2012/12，中国石油大学（华东），信息与控制工程学院，自动化系，讲师
研究领域
[1] 网络化控制系统
[2] 故障诊断与容错控制
[3] 随机系统的控制与滤波
近期论文
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[1] L. Sheng, W. Zhang, M. Gao. Relationship between Nash equilibrium strategies and H2/H∞ control of stochastic Markov jump systems with multiplicative noise. IEEE Transactions on Automatic Control, 59(9), pp. 2592-2597, 2014. (SCI二区 Top期刊)
[2] L. Sheng, Z. Wang, L. Zou, F. E. Alsaadi, Event-based H∞ state estimation for time-varying stochastic dynamical networks with state- and disturbance-dependent noises, IEEE Transactions on Neural Networks and Learning Systems, 28(10), pp. 2382-2394, 2017. (SCI一区 Top期刊)
[3] L. Sheng, Z. Wang, W. Wang, F. E. Alsaadi, Output-feedback control for nonlinear stochastic systems with successive packet dropouts and uniform quantization effects, IEEE Transactions on Systems, Man and Cybernetics: Systems, 47(7), pp. 2382-2394, 2017. (SCI二区)
[4] L. Sheng, Z. Wang, L. Zou. Output-feedback H2/H∞ consensus control for stochastic time-varying multi-agent systems with (x,u,v)-dependent noises, Systems and Control Letters, vol. 107, pp. 58-67, 2017. (SCI三区)
[5] L. Sheng, Z. Wang, E. Tian, and E. Alsaadi, Delay-distribution-dependent H∞ state estimation for delayed neural networks with (x,v)-dependent noises and fading channels, Neural Networks, vol. 84, pp. 102-112, 2016. (SCI二区)
[6] L. Sheng, M. Gao, W. Zhang, Bor-Sen Chen.Infinite horizon H∞ control for nonlinear stochastic Markov jump systems with (x,u,v)-dependent noise via fuzzy approach. Fuzzy Sets and Systems,273, pp. 105–123, 2015. (SCI二区 Top期刊)
[7] L. Sheng, W. Zhang, M. Gao. Some remarks on infinite horizon stochastic H2/H∞ control with (x,u,v)-dependent noise and Markov jumps. Journal of the Franklin Institute, 352(10), pp. 3929-3946, 2015. (SCI二区)
[8] L. Sheng, W. Zhang, M. Gao. Mixed H2/H∞ control of time-varying stochastic discrete-time systems under uniform detectability. IET Control Theory and Applications, 8(17), pp. 1866-1874, 2014. (SCI 三区)
[9] L. Sheng, M. Gao, W. Zhang. Dissipative control for Markov jump non-linear stochastic systems based on T-S fuzzy model. International Journal of Systems Science, 45(5), pp. 1213-1224, 2014. (SCI 三区)
[10] L. Sheng, M. Gao, W. Zhang. Spectral characterization for stability and stabilisation of linear stochastic systems with Markovian switching and its applications. IET Control Theory and Applications, 7(5), pp. 730-737, 2013. (SCI 三区)
[11] L. Sheng, M. Gao, W. Zhang. General stability of stochastic Markov jump linear systems based on the spectrum technique.Asian Journal of Control, 15(5), pp. 1417-1425, 2013. (SCI 四区)
[12] L. Sheng, M. Gao. Robust stability of Markovian jump discrete-time neural networks with partly unknown transition probabilities and mixed mode-dependent delays. International Journal of Systems Science, 44(2), pp. 252-264, 2013. (SCI 三区)
[13] L. Sheng, M. Gao. Stabilization for Markovian jump nonlinear systems with partly unknown transition probabilities via fuzzy control. Fuzzy Sets and Systems, 161(21), pp. 2780-2792, 2010. (SCI二区 Top期刊)
[14] L. Sheng, M. Gao, H. Yang. Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays.Fuzzy Sets and Systems, 160(24), pp. 3503-3517, 2009. (SCI二区 Top期刊)
[15] L. Sheng, H. Yang. Robust stability of uncertain Markovian jumping Cohen-Grossberg neural networks with mixed time-varying delays. Chaos, Solitons and Fractals, 42(4), pp. 2120-2128, 2009. (SCI)
[16] L. Sheng, H. Yang. Novel global robust exponential stability criterion for uncertain BAM neural networks with time-varying delays. Chaos, Solitons and Fractals, 40(5), pp. 2102-2113, 2009. (SCI)
[17] L. Sheng, H. Yang, X. Lou. Adaptive exponential synchronization of delayed neural networks with reaction-diffusion terms. Chaos, Solitons and Fractals, 40(2), pp. 930-939, 2009. (SCI)
[18] L. Sheng, H. Yang. Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects. Neurocomputing, 71(16-18), pp. 3666-3674, 2008.(SCI)
[19] Y. Niu, L. Sheng, W. Wang. Delay-dependent H∞ synchronization for chaotic neural networks with network-induced delays and packet dropouts, Neurocomputing, vol. 214, 7-15, 2016. (SCI二区)
[20] L. Sheng, H. Yang. H∞synchronization of chaotic systems via delayed feedback control. International Journal of Automation and Computing, 7(2), pp. 230-235, 2010. (EI)
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