Adaptively Event-Triggered $H\infty$ Control for Networked Autonomous Aerial Vehicles Control Systems Under Deception Attacks

This article investigates a new $H\infty$ control method for networked control systems (NCSs) under deception attacks, and applies it to autonomous aerial vehicles (AAVs). First, a novel adaptively event-triggered strategy (AETS) is proposed for reducing the transmitted data packets. Compared with existing ETS, the proposed AETS can adaptively adjust the event-triggered threshold and save limited networked resources in light of weighted average error. Second, a networked closed-loop system model is constructed by considering AETS, deception attacks, and network-induced delays. Then, the expected $H\infty$ control performance can be ensured in parallel with saving limited communication resources through the derived stability criterion. Finally, the validity and advantage of the presented approach are proved by a AAV system.