摘要
针对在统计特性未知欺骗攻击下,线性时变参数网络化控制系统(NCS)容易出现跟踪偏差的问题,提出了一种基于集员估计的控制策略,实现了系统状态对参考状态的有效跟踪.与卡尔曼估计等方法相比,无需提前知道攻击的统计特性,利用一种新型的集员估计方法,将传感器到控制器通道和控制器到执行器通道遭受的欺骗攻击建模为未知但有界(UBB)的信号,其中系统真实状态和估计状态都存在于估计集中.该方法提高了估计的准确性,并扩大了适用范围.采用Lyapunov函数,给出了误差闭环系统稳定的充分条件和基于线性矩阵不等式的估计器和控制器的求解算法,并使用凸优化方法获得最佳的估计集.用数值仿真验证所提出方法的可行性.
Considering the tracking deviation of the linear variable parameter networked control system(NCS)under a deception attack with unknown statistical characteristics,a novel control strategy based on set-membership estimation was proposed to realize the effective tracking of the system state to the reference system state.Firstly,compared to methods such as the Kalman estimation with the known statistical characteristics of the attack in advance,a novel set-membership estimation was proposed to improve the accuracy and application scope of the estimation,in which the deception attack suffered in the sensor-to-controller channel and the controller-to-actuator channel only needed to be modeled as an unknown but bounded(UBB)signal,and to guarantee that the true state and estimated state of the system consisted in the estimated set.Secondly,the sufficient conditions for the stability of the error closed-loop system based on the Lyapunov function were given.Simultaneously,the solving algorithm of the estimator and the controller based on the linear matrix inequality was obtained,and the convex optimization method was adopted to achieve the best estimation set.Finally,the feasibility of the proposed method was verified by numerical simulation.
作者
刘行
朱燕飞
于家浩
LIU Hang;ZHU Yanfei;YU Jiahao(College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 201418,China)
出处
《上海师范大学学报（自然科学版）》
2022年第2期157-170,共14页
Journal of Shanghai Normal University(Natural Sciences)
基金
上海自然科学基金(18ZR1428000)
上海师范大学一般科研项目(SK202118)。
关键词
网络化控制系统(NCS)
集员估计
跟踪控制
欺骗攻击
networked control system(NCS)
set-membership estimation
tracking control
deception attacks
