庞岩

Associate Professor   Supervisor of Master's Candidates

Gender:Female

Alma Mater:斯特莱斯克莱德大学

Degree:Doctoral Degree

School/Department:力学与航空航天学院

Discipline:Flight Vehicle Design. Control Theory and Control Engineering. Navigation, Guidance and Control

Business Address:海宇楼411A

Contact Information:邮箱:ypang@dlut.edu.cn

E-Mail:ypang@dlut.edu.cn


Paper Publications

基于博弈论的信息物理融合系统安全控制

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Date of Publication:2022-10-10

Journal:自动化学报

Affiliation of Author(s):运载工程与力学学部

Volume:45

Issue:1

Page Number:185-195

ISSN No.:0254-4156

Abstract:As a remote control system, the cyber-physical system (CPS) relies mainly on wireless networks to realize the transmission of information from sensors to controllers and from controllers to actuators. Because of this characteristic, the control system of CPS is vulnerable to security threats. Starting with physical devices, the aim of this paper is to protect normal operation of physical entities in CPS system from the interference of network intrusion caused by malicious attacks.Taking the cyber-physical systems suffered packets scheduling attacks into consideration, its secure control was abstracted as a process of two person zero sum game. Based on two person zero sum model of non-cooperative game, the paper designed a min-max controller with a robust output-feedback under time-varying delays. In this paper, a parameterized soft constraint quadratic objective function was adopted. Also, interference attenuation factor γ was introduced in the controller design and the minimum value of the quadratic objective function was determined by the value of γ which guaranteed the stability control under the worst case. Within the constraint of γ, we get the value of γ through particle swarm search algorithm. In addition, the min-max controller is analyzed and compared with the linear quadratic Gaussian (LQG) control, and the simulation was conducted on a two tanks system. The result showed that the min-max controller can stabilize the attacked system, but LQG cannot.

Note:新增回溯数据

Pre One:基于二级倒立摆的现代控制理论课程设计

Next One:基于博弈论的信息物理融合系统安全控制

Profile



毕业于英国Strathclyde大学,后在英国Sheffield 和Starthclyde大学从事研究工作,2009年通过特殊评审引进到大连理工大学航空航天学院工作,现任飞行器动力学与控制研究所所长。承担和参与了国家自然科学基金,国家863计划,总装预言等项目十余项,发表高水平研究论文三十余篇授权发明专利2项。研究方向主要包括:飞行器(无人机,卫星等)控制;混杂系统控制;非线性系统控制;信息物理融合系统安全等。

2024年拟在无人集群编队控制,高空风筝发电以及飞行器智能控制方向招收研究生3名。欢迎在控制,力学,电学,数学,物理等有一定基础的同学通过报考或推免加入我的团队。在团队中你的创新能力和动手能力都将得到提升,对经济上有困难或业绩突出者将得到额外补助和奖励,毕业时帮助推荐继续深造或就业岗位机会。欢迎各位同学和导师提前联系沟通ypang@dlut.edu.cn

近期部分学生毕业去向:

姓名

来源

毕业去向

李**

交叉学科

中电集团(青岛)

王**

本校保研

南京企业

李*

本校考研(专业第一名)

中电集团(成都)

王*

外校211保研

上海商飞

韩**

外校211保研

深圳华为

祝**

本校考研

深圳华为

张**

外校985保研

北理工读博

陈**

外校考研

苏州企业

杜**

本校考研(专业第一名)

南京军工企业

祝**

本校考研

浙大读博

张*

本校考研(专业第一名)

目前南京航天国器带薪联合培养中

杨**

外校211保研

西安某研究所