Dynamic Memory Event‐Triggered Data‐Driven Control for Cyber‐Physical Systems Under DoS Attacks

This article addresses the dynamic memory event‐triggered data‐driven control (DMETDDC) issue for cyber‐physical systems (CPSs) under periodic Denial‐of‐Service (DoS) attacks. The control objective is to achieve stability of unknown CPSs under DoS attacks using the data‐driven control (DDC) approach. Firstly, a dynamic memory event‐triggered mechanism (DMETM) and a periodic DoS attack model are presented. Subsequently, a dynamic memory event‐triggered controller based on DMETM is designed. Secondly, assuming that the system model is known, we analyze the model‐based stability under the DMETM and its corresponding controller. Thirdly, when the system model is unknown, the data‐based stability conditions are obtained through the model‐based stability conditions and data‐based representation derived from noisy data. Further, the controller gain and triggered parameters are obtained through the data‐based stability conditions. Finally, a comparative simulation between the dynamic event‐triggered mechanism (DETM) and DMETM is conducted to test the validity of the proposed DMETDDC method.