自适应事件触发通信机制下机理解析与数据驱动融合的ICPS双重安全控制

针对存在拒绝服务(DoS)攻击与执行器故障的工业信息物理融合系统(ICPS),将机理解析与数据驱动方法相结合,在新型自适应事件触发通信机制下,研究双重安全控制问题.首先,设计自适应事件触发机制,能够触发参数随系统行为动态自适应变化,节约更多网络通信资源;其次,基于系统最大允许时延建立攻击检测机制,可以有效区分大、小能量DoS攻击;再次,基于极限学习机算法(ELM)建立时序预测模型,用于大能量DoS攻击时重构修正控制量,以主动容侵攻击的影响,并给出与小能量攻击时机理解析的弹性被动容侵来提升系统对攻击的防御能力;然后,借助T-S模糊理论、时滞系统理论、新型Bessel-Legendre不等式等,推证得到系统鲁棒观测器及双重安全控制器的解析求解方法,使双重安全控制与通讯性能得到折衷协同提升;最后,通过实例仿真验证所提出方法的有效性.

Dual security control based on fusion of mechanism analysis and data-driven under adaptive event-triggered communication scheme for ICPS

Under a novel adaptive event-triggered communication scheme, a dual security control problem is investigated by combining mechanistic analysis with a data-driven approach for industrial cyber-physical systems(ICPS) with denial-of-service(DoS) attacks and actuator fault. First, in order to save more network communication resources, the trigger parameters of the designed adaptive event triggered scheme can change dynamically and adaptively with the system behavior. Second, an attack detection mechanism is established based on the maximum allowable delay of the system to effectively distinguish large and low energy DoS attacks. Third, based on extreme learning machine algorithm, a timing prediction model is established to reconfigure and correct the control quantity during high-energy DoS attacks, thus actively tolerating the impact of attacks, which is combined with resilient passive attack tolerance for low-energy attacks to improve the system''s defense against attacks. Fourth, with the help of T-S fuzzy theory, time delay theory, and the new Bessel-Legendre inequality, etc., a robust observer and an analytical solution method of the dual security controller are obtained to improve and balance the performance of dual security control and communication. Finally, the effectiveness of the proposed method is verified by simulation examples.