Several Control Methods Of Cyber-physical System Under Cyber Attacks

With the continuous development of science and technology,cyber-physical system(CPS)has a wide range of applications in many fields such as aerospace,transportation network,smart grid,etc.Because of its potential huge economic value and social significance,it has attracted many researchers to study it.However,due to the complexity of the CPS system,the simple modeling methods in the past can no longer be applied to the research of CPS,and the increas-ingly developed and complex communication transmission is also facing huge security threats.Therefore,the safety control of CPS is the key point in the study of CPS,which has a wide range of practical significance.A single type of network attack is often considered in traditional sys-tem control,which is not widely applicable to current control requirements.Therefore,the research on the control problems of the system when multiple attacks occur simultaneously is also increasing,and a variety of control methods and system modeling methods have been pro-posed.Based on previous studies,this paper analyzes the control issues of CPS under cyber attacks.The main contents are as follows:1.The mean-square stability of discrete systems with random occurring uncertainties and nonlinearities under hybrid cyber attacks is studied.Considering the actual factors,a more detailed modeling of the system is established,and a compensator under the hybrids cyber attack is designed.Constructing a sliding surface considering the probability of attack,and a sufficient condition for the stability of the sliding surface is obtained.Then a sliding mode controller is designed through the sliding mode function,and the mean-square stability of the system is obtained with the help of linear matrix inequality.The solution method was improved through optimization algorithm,and numerical simulation was performed to verify the effectiveness of the theorem.2.The mean-square stability of the interval type-2 Takagi-Sugeno(T-S)fuzzy system with random occurring uncertainties and actuator saturation under cyber attacks is studied,and the strict dissipative performance under this stable condition is studied.A system model based on interval type-2 TS fuzzy theory is established,and an adaptive event trigger mechanism is introduced.By modeling the real signal from the system to the controller,a T-S controller based on the real signal is designed.By the Lyapunov stability analysis method,the mean-square stability of the system with strict dissipative performance is obtained.And through the linearization algorithm,the obtained matrix inequality was transformed into a linear matrix inequality,and numerical simulation was carried out to verify the effectiveness of the theorem.