A security issue with multi-sensor unmanned aerial vehicle(UAV)cyber physical systems(CPS)from the viewpoint of a false data injection(FDI)attacker is investigated in this paper.The FDI attacker can employ attacks on ...A security issue with multi-sensor unmanned aerial vehicle(UAV)cyber physical systems(CPS)from the viewpoint of a false data injection(FDI)attacker is investigated in this paper.The FDI attacker can employ attacks on feedback and feed-forward channels simultaneously with limited resource.The attacker aims at degrading the UAV CPS's estimation performance to the max while keeping stealthiness characterized by the Kullback-Leibler(K-L)divergence.The attacker is resource limited which can only attack part of sensors,and the attacked sensor as well as specific forms of attack signals at each instant should be considered by the attacker.Also,the sensor selection principle is investigated with respect to time invariant attack covariances.Additionally,the optimal switching attack strategies in regard to time variant attack covariances are modeled as a multi-agent Markov decision process(MDP)with hybrid discrete-continuous action space.Then,the multi-agent MDP is solved by utilizing the deep Multi-agent parameterized Q-networks(MAPQN)method.Ultimately,a quadrotor near hover system is used to validate the effectiveness of the results in the simulation section.展开更多
热连轧过程中的加热炉系统具有大惯性和大滞后的特点。为了提高加热炉的温度控制性能,提出了一种基于信息物理系统(cyber-physical system,CPS)的综合优化控制策略。首先,建立了具有延时的传统比例积分微分(proportional integral diffe...热连轧过程中的加热炉系统具有大惯性和大滞后的特点。为了提高加热炉的温度控制性能,提出了一种基于信息物理系统(cyber-physical system,CPS)的综合优化控制策略。首先,建立了具有延时的传统比例积分微分(proportional integral differential,PID)温度控制系统模型。然后,通过引入一个转移参数来构造修正后的状态方程,进而计算出中立型延时系统的控制器参数,并提出了基于CPS的延时优化控制与PID控制相结合的控制策略。最后,将所提控制策略应用在某钢铁厂的步进加热炉中,实验结果表明,该控制策略提升了温度控制的智能化程度,实现了更精确的加热过程,优化了生产流程,提高了加热效率,减少了能源浪费。该控制策略具有工程实用价值和推广意义。展开更多
文摘A security issue with multi-sensor unmanned aerial vehicle(UAV)cyber physical systems(CPS)from the viewpoint of a false data injection(FDI)attacker is investigated in this paper.The FDI attacker can employ attacks on feedback and feed-forward channels simultaneously with limited resource.The attacker aims at degrading the UAV CPS's estimation performance to the max while keeping stealthiness characterized by the Kullback-Leibler(K-L)divergence.The attacker is resource limited which can only attack part of sensors,and the attacked sensor as well as specific forms of attack signals at each instant should be considered by the attacker.Also,the sensor selection principle is investigated with respect to time invariant attack covariances.Additionally,the optimal switching attack strategies in regard to time variant attack covariances are modeled as a multi-agent Markov decision process(MDP)with hybrid discrete-continuous action space.Then,the multi-agent MDP is solved by utilizing the deep Multi-agent parameterized Q-networks(MAPQN)method.Ultimately,a quadrotor near hover system is used to validate the effectiveness of the results in the simulation section.
文摘热连轧过程中的加热炉系统具有大惯性和大滞后的特点。为了提高加热炉的温度控制性能,提出了一种基于信息物理系统(cyber-physical system,CPS)的综合优化控制策略。首先,建立了具有延时的传统比例积分微分(proportional integral differential,PID)温度控制系统模型。然后,通过引入一个转移参数来构造修正后的状态方程,进而计算出中立型延时系统的控制器参数,并提出了基于CPS的延时优化控制与PID控制相结合的控制策略。最后,将所提控制策略应用在某钢铁厂的步进加热炉中,实验结果表明,该控制策略提升了温度控制的智能化程度,实现了更精确的加热过程,优化了生产流程,提高了加热效率,减少了能源浪费。该控制策略具有工程实用价值和推广意义。
基金浙江省“尖兵”“领雁”研发攻关计划(2024C01058)浙江省“十四五”第二批本科省级教学改革备案项目(JGBA2024014)+2 种基金2025年01月批次教育部产学合作协同育人项目(2501270945)2024年度浙江大学本科“AI赋能”示范课程建设项目(24)浙江大学第一批AI For Education系列实证教学研究项目(202402)。
