主要学习与工作经历
1994.9-1998.7, 永利yl23411no1威海分校, 控制工程系控制科学专业, 理学学士;
1998.9-2003.7, 永利yl23411no1, 数学与系统科学学院运筹学与控制论专业(硕博连读), 理学博士;
2003.7-2005.09, 永利yl23411no1控制科学与工程学院讲师;
2005.9-2011.12, 永利yl23411no1控制科学与工程学院副教授、硕士生导师;
2006.9-2009.6, 永利yl23411no1计算机科学与技术学院博士后;
2007.10-2008.10, 美国圣路易斯华盛顿大学电气与系统工程系, 访问学者;
2012.1-今, 永利yl23411no1控制科学与工程学院教授、博士生导师;
研究方向
混杂系统理论, 最优控制理论, 动力学系统稳定性分析, 微纳米生物系统建模、控制与计算, 柴油机试验台故障预诊断.
主持科研项目情况
1. 一类混合奇异系统稳定性、最优控制分析及应用(Q2006A03),山东省自然科学基金项目,2007.01- 2009.12,项目主持人(已结题)。
2. 一类混杂广义系统的建模、稳态优化控制策略研究及应用(200703085),山东省博士后创新项目专项基金项目,2008.01-2009.12,项目主持人(已结题)。
3. 分子生物学蛋白质合成建模及基因突变过程控制研究(20090451314),中国博士后基金,2009.01-2009.12,项目主持人(已结题)。
4. 分子生物学中心法则建模及DNA突变过程控制研究(BS2009DX041),山东省优秀中青年科学家科研奖励基金,2009.12-2012.12,项目主持人(已结题)。
5. 离散事件动态系统理论在微纳米生物系统建模与控制研究中的应用(ZR2010 FM030),山东省自然科学基金项目,2010.11-2013.11,项目主持人(在研)。
6. 生物信息学蛋白质分子合成过程建模及控制分析(2010TS016),永利yl23411no1自主创新基金项目,2010.06-2012.12,项目主持人(已结题)。
7. 微纳米生物学基因表达相关过程的建模与控制研究(61174218),国家自然科学基金面上项目,2012.01-2015.12,项目主持人(在研)。
8. 分子生物学代谢过程多模型建模及非线性分析(61473335),国家自然科学基金面上项目,2015.01-2018.12,项目主持人(在研)。
9. 海洋有害藻华生态建模分析与区域污染控制(61533011),国家自然科学基金重点项目,2016.01-2020.12,第二位(在研)。
参加项目情况
1. 一类混合Hamilton系统的分析、控制及其应用(G60474001),国家自然科学基金面上项目2005.01- 2007.12,第3位: 理论分析。
2. 一类控制系数未知高阶非线性系统自适应稳定控制设计(G60674036),国家自然科学基金面上项目,2007.01-2009.12,第2位: 建模与分析。
3. 一类控制系数未知高阶非线性系统自适应稳定控制设计(G60674036),国家自然科学基金面上项目,2007.01-2009.12,第2位: 建模与分析。
主要论著目录
1. Rui Gao*. Towards a converse Lyapunov stability theory of hybrid impulsive and switching systems [C]. Proceedings of 2014 IEEE International Conference on Automation Science and Engineering, 425-429, 2014.08.
2. Rui Gao*, Wensong Hu, Tzyh-Jong Tarn. The Application of Finite State Machine in Modeling and Control of Gene Mutation Process [J]. IEEE Trans. on NanoBioscience, 2013, 12(4): 265-274.
3. Jinliang Yang, Rui Gao, Max Q.-H. Meng*. Nonlinear Control for GAL Regulatory Network in S. cerevisiae [J]. International Journal of Information Acquisition, 2013, 9(1): 1350002(1–12).
4. Jinliang Yang, Rui Gao*. State Observer and Controller Design for a Class of Nonlinear Systems [J]. Journal of Convergence Information Technology, 2013, 8(5): 28–37.
5. R. Gao, W.S. Hu. Study on some modeling problems in the process of gene expression with finite state machine. Proceedings of the 10th World Congress on Intelligent Control and Automation, 5066-5070,2012.07.
6. J.L. Yang, R. Gao, M. Q.-H. Meng, T.J. Tarn. Colored Petri Nets to Model Gene Mutation Classification. Proceedings of the 10th World Congress on Intelligent Control and Automation, 5077-5082, 2012.07.
7. J.L. Yang, R. Gao, M. Q-H. Meng, T.J. Tarn. Colored petri nets to model gene mutation and amino acids classification [J]. Journal of Theoretical Biology, 2012, 300: 183-192.
8. R. Gao, W.S. Hu, and C.Q. zhang. Modeling and Analysis of Metabolism Process with Finite State Machine[J]. Advanced Materials Research, 2012, 424-425: 250-254.
9. R. Gao, W.S. Hu, and C.Q. Zhang. Modeling and Analysis of DNA Mutation Effects on Protein Structure with Finite State Machine[J]. Lecture Notes in Electrical Engineering, 2011, 140: 317-323.
10. 谈自忠, 高瑞, 张明君. 微纳米生物学系统状态空间建模[A]. 10000个科学难题·信息科学卷, 科学出版社, 2009.11: 135-140.
11. R. Gao, J.Y. Yu, M.J. Zhang, T.J. Tarn, and J.S. Li. Systems Theoretic Analysis of the Central Dogma of Molecular Biology: Some Recent Results [J]. IEEE Trans. on NanoBioscience, 2010, 9(1): 59-70.
12. R. Gao, X.Liu. Optimal control problems for general global hybrid dynamical systems with matrix cost functional [J]. ANZIAM Journal, 2010, 51: 331-349.
13. R. Gao, X. Liu, and J.L. Yang. On optimal control problems of a class of impulsive switching systems with terminal states constraints [J]. Nonlinear Analysis: Theory, Methods & Applications, 2010, 73(7): 1940-1951.
14. R. Gao. Towards Optimal Control Problems of Hybrid Impulsive and Switching Systems with Free Terminal States [J]. Chinese Journal of Electronics, 2010, 19(3): 557-562.
15. J.X. Zhang, R. Gao. Study on the Time-delay Robust Quadratic Stabilization for A Class of Discrete Switched Systems [A]. Proceedings of the 8th World Congress on Intelligent Control and Automation, 2010, 6: 3363-3366.
16. R. Gao, Y.G. Liu, and J.X. Zhang. Study on the Minimum Principle of Hybrid Impulsive and Switching Systems with Ekeland's Variational Principle [A]. Proceedings of the 8th World Congress on Intelligent Control and Automation, 2010, 6: 4008-4013.
17. R. Gao, Y.G. Liu. Optimal Control Analysis on A Class of Hybrid Systems with Impulses and Switches [A]. Proceedings of the 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009, 2: 269-273, Shanghai, China.
18. R. Gao, J.Y. Yu, M.J. Zhang, and T.J. Tarn. A Preliminary Study on Mathematical Modeling of Protein Synthesis Process [A]. Proceedings of the 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009, 2: 335-339, Shanghai, China.
19. R. Gao, J.Y. Yu, M.J. Zhang, and T.J. Tarn. Mathematical Models of Protein Secondary Structures and Gene Mutation [A]. Proceedings of the 2009 IEEE International Conference on Mechatronics and Automation, 2009: 4327-4332, Changchun, Jilin, China.
20. R. Gao, J.Y. Yu, M.J. Zhang, T.J. Tarn, and J.S. Li. A Mathematical Formulation of the Central Dogma of Molecular Biology. In: M. Zhang, N. Xi. Nanomedicine: A System Engineering Approach [M]. Singapore: Pan Stanford Publishing Pte. Ltd., 2009.
21. 秦婧文, 高瑞, 刘新芝. 具有时滞的不确定离散脉冲切换系统的保性能控制研究[J]. 永利yl23411no1学报(理学版), 2009, 44(5): 56-61.
22. R. Gao, X. Liu. The Application of Mathematical Induction in HDS' Global Maximum Principle with Restricted Terminal States [J]. Dynamics of Continuous Discrete and Impulsive Systems-Series B: Applications & Algorithms, 2007, 14(S2): 1181-1185.
23. R. Gao, X. Liu. The Application of Ekeland's Variational Principle in HDS' Global Maximum Principle with Restricted Terminal States [J]. Dynamics of Continuous Discrete and Impulsive Systems-Series B: Applications & Algorithms, 2007, 14(S2): 1796-1802.
24. R. Gao, Y.Z. Wang. Towards a Global Optimal Theory of a Class of Hybrid Dynamical Systems with Free Terminal States [A]. Proceedings of the 2006 IEEE Conference on Information Acquisition. 2006: 905-909, Weihai, Shandong, China.
25. R. Gao, Y.Z. Wang. Study on Boundedness of PWM systems [A]. Dynamics of Continuous Discrete and Impulsive Systems: Series A-Mathematical Analysis, 2006: 228-232.
26. R. Gao, Y.Z. Wang. Study on Optimal Control of HDS by Ekeland's Variational Principle [J]. Chinese Journal of Electronics, 2006, 15(3): 487-491.
27. R. Gao, L. Wang, and Y.Z. Wang. Study of HDS' Optimal Control Problems [J]. Journal of Systems Engineering and Electronics, 2006.17(1): 2123-2126.
28. 高瑞, 王雷, 王玉振. 混合动态系统Lyapunov反问题的另一种证明[A]. 2005控制与决策学术年会论文集[C], 2005: 121-125.
主讲研究生与本科生课程
1.本科生专业基础课: MATLAB技术应用, 现代控制理论, 应用统计学, 复变函数, 矩阵理论, 线性代数, 工程数值分析.
2.研究生专业课: 现代检测技术(软测量部分), 系统辨识与自适应控制, 系统预测与优化.
3.博士生讨论班: 微纳米生物系统建模、计算与控制, 混杂动态系统理论. |