科研工作

南京理工大学陈可博士学术报告

来源:     发布日期:2018-03-16    浏览次数:

报告题目:Sampled-data Based Stabilizing Design: A Hybrid Theory Perspective

报告人: Ke Chen

报告时间:2018319日周一上午09:30-11:30

报告地点:数计学院4号楼229 


报告摘要: We first review the paper “Structural properties of a class of
linear hybrid systems and output feedback stabilization” which deals with
the problem of output feedback stabilization for a class of linear hybrid
systems. This problem is addressed by characterizing the structural
properties of such a class of systems.  

The main objective of this talk is to propose a new approach for linear
time-invariant system's sampled-data stabilization based on hybrid theory
elaborated in the article referenced above. We show how to design sampled
output-feedback controllers and present that if the system is stabilizable
via continuous-time output feedback, it can also be achieved by using
sampled output feedback. The result will be illustrated by a dc motor
control.

 


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