文献类型：期刊文献

英文题名：Dynamic Event-Triggered Model Predictive Control for Nonlinear Discrete Cyber-Physical Systems With Hybrid Attacks

作者：Song, Hongchao[1];Wang, Zhenlei[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2025

卷号：22

起止页码：15745

外文期刊名：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

收录：;EI(收录号：20252218494596);WOS:【SCI-EXPANDED(收录号:WOS:001502472400015)】；

基金：This work was supported in part by the National Natural Science Foundation of China (Key Program) under Grant 62136003, in part by the National Natural Science Foundation of China under Grant 62293504 and Grant 62293501, in part by the Major Science and Technology Project of Xinjiang under Grant 2022A01006-4, and in part by the Fundamental Research Funds for the Central Universities under Grant 222202517006.

语种：英文

外文关键词：System performance; Event detection; Security; Predictive control; Predictive models; Control systems; Automation; Vehicle dynamics; Actuators; Robot sensing systems; Model predictive control; hybrid attacks; cyber-physical systems; dynamic event-triggered

摘要：This study presents a novel approach to dynamic event-triggered model predictive control (MPC) for nonlinear discrete-time cyber-physical systems (CPSs) subject to simultaneous hybrid denial of service (DoS) and deception attacks on the sensor-to-controller and controller-to-actuator communication channels. The proposed method introduces a dynamic event-triggered mechanism (DETM) with a predetermined offset to optimize communication efficiency in bandwidth-limited systems. Furthermore, a mechanism for detecting attacks has been developed to ensure the integrity of transmitted information, thereby mitigating the impact of hybrid attacks. Theoretical conditions are established to ensure the input-to-state practical stability of the closed-loop system using the proposed method. Finally, simulation cases are presented to validate the superiority of the proposed method in comparison to existing approaches in scenarios where CPSs encounter similar hybrid attacks.