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副教授   硕士生导师

性别: 女

毕业院校: 斯特莱斯克莱德大学

学位: 博士

所在单位: 力学与航空航天学院

学科: 飞行器设计. 控制理论与控制工程. 导航、制导与控制

办公地点: 海宇楼411A

联系方式: 邮箱:ypang@dlut.edu.cn

电子邮箱: ypang@dlut.edu.cn

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基于博弈论的信息物理融合系统安全控制

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发表时间: 2022-10-10

发表刊物: 自动化学报

所属单位: 运载工程与力学学部

卷号: 45

期号: 1

页面范围: 185-195

ISSN号: 0254-4156

摘要: 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.

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