Physical systems are inherently nonlinear and interconnected in nature. Significant progress has been made on nonlinear control systems in the past three decades. However, new system analysis and design tools that are capable of addressing more communication and networking issues are still highly desired to handle the emerging theoretical challenges underlying the new engineering problems. As an example, small quantization errors may cause the performance of a“well-designed”nonlinear control system to deteriorate.

This talk presents a set of analysis and design tools based on the well-known nonlinear small-gain theorem to address the newly arising theoretical problems from the viewpoint of dynamic networks. The results are intended to help solve real-world nonlinear control problems, including quantized control and distributed control aspects.

 

报告人简介:

刘腾飞博士于2005年本科毕业于华南理工大学自动化专业，2007年硕士毕业于华南理工大学控制理论与控制工程专业，2011年博士毕业于澳大利亚国立大学工程学（系统与控制）专业。2011年至2012年在纽约大学理工学院（现纽约大学工学院）电气与计算机工程系从事博士后研究，2012年至2013年任职访问助理教授。从2014年起作为东北大学百人计划加入东北大学流程工业综合自动化国家重点实验室，任特聘教授。刘腾飞的研究方向包括非线性系统稳定性、鲁棒自适应控制、分布式控制等。

 

 

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