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中国科学院数学与系统科学研究院程代展教授学术报告

来源:     发布日期:2019-04-23    浏览次数:

报告题目:Output Regulation of Boolean Control Networks

报告人:程代展教授

报告时间:20190424日周三上午10:00

报告地点:数计学院4号楼229

报告摘要:The output tracking problem of Boolean control networks is considered, where the tracking object comes from an exotic system. Using semi-tensor product of matrices, the logical model is converted into algebraic state space representation form. Under this framework, by constructing an auxiliary system and using the set controllability method, straightforwardly verifiable necessary and sufficient conditions are presented for solvability of the output regulation problem. In addition, effective algorithms for designing open-loop control sequences are provided, and then close-loop controls are also constructed for each model respectively. The control obtained is optimal in the sense that the tracking time is the shortest one. Finally, a biological example is given to illustrate the main results.

 

报告人简介:Dr. Daizhan Cheng graduated from Tsinghua University in 1970, received M.S. from Graduate School, Chinese Academy of Sciences in 1981, and Ph.D. from Washington University, St. Louis, in 1985. Since 1990, he is a professor with Institute of Systems Science, AMSS, Chinese Academy of Sciences.  He is the author/coauthor of 15 Books, over 270 Journal Papers and over 170 Conference Papers. He was member of IEEE CSS Board of Governors (2009, 2015), and IFAC Council Member (2011-2014). He is IEEE Fellow (2006-),  IFAC Fellow (2008-). He received Second National Natural Science Award of China twice (in 2008 and 1014), Outstanding Science and Technology Achievement Price of CAS (2015), and the Automatica Best Paper Award (2008-2010), bestowed by IFAC. He is the creator of the semi-tensor product of matrices.

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