Event-triggered Resilient Control Of ICPS Under Data Injection Attack

With the continuous innovation of industrial design,the process of digitalization of industrial equipment and people is rapidly accelerating.In order to avoid the limitation of man-made capabilities in complex industrial environments,information processing in cyberspace is gradually used to control the harsh industrial physical space.Industrial-Cyber-Physical-System(ICPS)combines information system and physical equipment through wireless networks to realize industrial intelligent computing,communication and control.However,the fragility of the ICPS communication network makes the system vulnerable to data injection attacks,causing industrial equipment failures,a significant drop in system performance,and even system crashing.ICPS has limited communication resources such as computing and battery equipment in harsh industrial environments.When solving security problems,it is also necessary to consider energy consumption.Therefore,this paper studies the security defense strategy under data injection attacks from two aspects:resilient control and event-triggered.Use as few communication resources as possible to achieve effective mitigation of attacks by ICPS.The main research contents are as follows:(1)Research on the event-triggered resilient control strategy in ICPS with interference and noise,when any channel from sensor to controller encounters data injection attacks.In order to reduce the cost of communication resources,use H_? observer,predictor and event trigger to establish an event-triggered ICPS model.Besides,an attack compensation module based on an improved Kalman filter which reduces the impact of data injection attacks on the stability of ICPS is constructed for attack compensation.The parameters of the attack compensation module are changed with different attack strategies of adversary to achieve resilient control of data injection attacks.(2)Research on the adaptive event-triggered resilient control strategy in ICPS with interference,noise and delay when two channels encounter asynchronous data injection attacks.For adapting to changes of the harsh environmental,the event trigger threshold is dynamically optimized with the external interference and attacks to ensure the system with a certain resilience.Based on an asynchronous event-triggered timing model,a control strategy of asynchronous event-triggered control is constructed by being combined with the dynamic output feedback control for different attack scenarios.Establish a closed-loop model of the system,obtain the system stability criterion and H_? performance.Finally,the controller coupling problem is solved,and the gain matrixs of the dynamic output feedback controller are calculated.(3)Research on the adaptive event-triggered resilient control strategy when the distributed sensor structure ICPS with limited communication resources under asynchronous data injection.First,based on the wireless network topology,design a distributed adaptive event-triggered mechanism based on node and neighbor node information,introduce a quantizer,and build an quantitative ICPS structure based on distributed adaptive event-triggered.Establish a closed-loop system model describing distributed sensor structure,adaptive event-triggered mechanism,quantification,attack,and network dynamic delay,and introduce a free weight matrix to further reduce the stable conservation,and analyze system stability and H_? performance through the Lyapunov stability theory.