Complex cyber-physical network is a new generation of complex networks whose normal functioning significantly relies on close interactions between its physical and cyber components.Many modern critical infrastructures can be appropriately modelled as complex cyber-physical networks such as the Internet,smart grids and transportation networks.These critical facilities play important roles in ensuring the stability of society as well as the development of economy.With the innovation of science and technology,the cyber security of complex cyber-physical networks is facing serious challenges.Specifically,complex cyber-physical networks provide opportunities for malicious attackers to launch attacks when they are remotely sensed and controlled via shared communication network.It is worth pointing out that most of the existing literature is based on the design of control strategies for a single malicious attack,and how to design control strategies that can protect against multiple malicious attacks at the same time has not been thoroughly investigated.On the other hand,there is an urgent need to address these issues in the context of the lack of attention given to the simultaneous occurrence of physical attacks and cyber attacks.In this context,there is an urgent need to address the above-mentioned issues.This thesis studies the design of the synchronization control strategy of complex cyber-physical networks with communication constraints and malicious attacks.The main contents are as follows:1.In this thesis,an observer-based output feedback control strategy is investigated for security control problem of cyber-physical systems subject to false data injection attacks and packet dropouts.On this basis,the secure control problem for cyberphysical systems under false data injection attack is extended to the synchronization control problem for complex cyber-physical networks with N coupled nodes under false data injection attacks,and the synchronization control problem of complex information-physical networks subject to data injection attacks,time-varying input delay and distributed state delay is systematically investigated.2.The pinning synchronization control problem is investigated for a class of complex cyber-physical networks with multiple attacks and time-varying delays.To rationalize the allocation of communication resources,the dynamic event-triggering mechanism is introduced into the design process of pinning synchronization controller.Subsequently,by utilizing the Lyapunov stability theory and the linear matrix inequality technique,sufficient conditions are derived to guarantee that the closed-loop error dynamics are ultimately exponentially bounded.Finally,the impact of multiple attacks and time-varying time delays on the synchronization performance of complex cyber-physical networks is analyzed qualitatively.3.A mathematical model is established for complex cyber-physical networks with time-varying input delays under false data injection attacks,denial-of-service attacks,and physical attacks.An intermittent synchronization control scheme is proposed based on the established system model.Then,by utilizing the Lyapunov stability theorem sufficient conditions are derived to ensure that the synchronization error dynamics are ultimately bounded.Subsequently,an optimization problem framework is developed,and the minimum value of the synchronization error under mixed attacks is obtained.Finally,the controllability of complex cyber-physical networks under mixed attacks is discussed.4.The main research work and contributions are summarized,as well as shortcomings and prospects for future research work. |