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基于博弈论的信息物理融合系统安全控制

庞岩 王娜 夏浩

自动化学报2019,Vol.45Issue(1):185-195,11.
自动化学报2019,Vol.45Issue(1):185-195,11.DOI:10.16383/j.aas.2018.c180365

基于博弈论的信息物理融合系统安全控制

A Game Theory Approach for Secure Control of Cyber-physical Systems

庞岩 1王娜 2夏浩3

作者信息

  • 1. 大连理工大学工业装备与结构分析国家重点实验室 航空航天学院,大连 116024
  • 2. 上海飞机设计研究院,上海 201210
  • 3. 大连理工大学控制科学与工程学院,大连 116024
  • 折叠

摘要

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.

关键词

零和博弈/极大极小控制/LQG控制/数据包时序攻击

Key words

Zero sum game/min-max control/linear quadratic Gaussian (LQG) control/packet scheduling attack

引用本文复制引用

庞岩,王娜,夏浩..基于博弈论的信息物理融合系统安全控制[J].自动化学报,2019,45(1):185-195,11.

基金项目

国家自然科学基金(61273098) (61273098)

中央高校基本科研业务(DUT16QY23) (DUT16QY23)

辽宁省自然科学基金(20180520023)资助 (20180520023)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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