ABSTRACT
Recent years have witnessed a wide application of network technologies to control systems. Integrating with communication core, NCSs have increased mobility and interoperability, and reduced maintenance and installation costs [62]. The exposure to public networks renders control systems the targets of potential cyber attacks. Since there is a connection between the information world and reality, control systems are targeted by cyber attacks resulting in serious incidents, which has been verified during the past decades [105, 62]. By targeting at different components of control systems, attackers can launch various types of attacks. Actually, there have been a number of literatures addressing the problem of resilient control under DoS attacks [171, 170, 7, 79]. From the aforementioned literatures, it is concluded that game theory has been employed intensively in resilient control. On the other hand, it has been well recognized that delta operators can overcome numerical mistakes on discrete-time systems with fast sampling frequency. Then they unify some previous related results of continuous and discrete systems into the delta operator systems framework. For delta operator systems, they are much easier to observe and analyze the control effect over dynamic networks for the reason of that sampling period is explicitly expressed. To the best of the authors’ knowledge, game theoretic resilient control has not been investigated in the delta domain and still remains challenging.
