兰州理工大学 电气工程与信息工程学院; 甘肃省工业过程先进控制重点实验室;电气与控制工程国家级实验教学示范中心, 兰州 730050
收稿日期:
2020-01-10出版日期:
2020-09-28发布日期:
2020-10-10作者简介:
王志文(1976-),男,甘肃省武威市人,教授,现主要从事网络化控制系统的研究.电话(Tel.):13893329300;E-mail: 基金资助:
国家自然科学基金(61863026);国家自然科学基金(61563031);国家自然科学基金(61751315);甘肃省高等学校产业支撑引导(2019C-05);甘肃省工业过程先进控制重点实验室开放基金(2019KFJJ03)Event-Triggered Generalized Predictive Control of Cyber-Physical Systems Under Denial-of-Service Attacks
WANG Zhiwen(), LIU WeiCollege of Electrical and Information Engineering; Key Laboratory of Gansu Advanced Control for Industrial Processes; National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China
Received:
2020-01-10Online:
2020-09-28Published:
2020-10-10摘要/Abstract
摘要: 针对传感器到控制器通信信道上存在拒绝服务(DoS)攻击的信息物理系统的安全问题进行研究.首先,基于系统的定周期采样策略,设计了事件触发的通信策略,以减少通信资源的占用.同时,为降低DoS攻击给系统带来的不良影响,提出了一种基于预测控制的数据补偿方法,在控制器节点中,通过成功接收到的历史状态信息得到系统受攻击导致状态信息丢失情况下的状态预测值,并给出控制器反馈增益的表达式.随后,提出了事件触发预测控制下的系统闭环模型,分析了系统闭环稳定的充分条件.最后,通过仿真实例证明了该方法的有效性.
关键词: 信息物理系统, 拒绝服务攻击(DoS), 事件触发策略, 广义预测控制
Abstract: A generalized predictive control strategy of cyber-physical systems under denial-of-service (DoS) attack is studied. First, an event-triggered communication strategy is designed to reduce the occupation of communication resources based on the periodic sampling strategy of the system. At the same time, in order to reduce the adverse effects of DoS attacks on the system, a data compensation method based on predictive control is proposed. The data of state information lost in system attacks are predicted by the successfully received historical state information in the controller nodes, and the expression of the controller feedback gain is proposed. Then, a closed-loop model of the system under event-triggered predictive control is proposed and sufficient conditions are analyzed. Finally, the effectiveness of the method is proved by the simulation example.
Key words: cyber-physical system, denial-of-service attack (DoS), event-triggered strategy, generalized predictive control
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