Dynamic Event‐Triggering Anti‐Disturbance Control of Nonlinear Multi‐Agent Systems Under Random Deception Attacks
Jun Chen, Dan Liu, Liwei Li, Yan Liu · International Journal of Robust and Nonlinear Control · 2025
ABSTRACT This paper is devoted to the dynamic event‐triggering anti‐disturbance control of nonlinear multi‐agent systems under random deception attacks. An intermediate observer is built for each agent to simultaneously estimate both the system states and unknown disturbances. A novel dynamic event‐triggering condition based on the variable threshold is designed to minimize communication resources, which comprises both instantaneous and historical triggering errors. A resilient security control law and a corresponding sufficient condition, expressed as linear matrix inequalities, are developed to guarantee the bounded stability of the resultant closed‐loop system. Ultimately, simulations are performed to evaluate the effectiveness of the provided scheme.