Data-Driven Adaptive Iterative Learning Control for Consensus Tracking of Multiagent Systems Subject to Hybrid Cyber Attacks.
This work investigates the data-driven iterative learning consensus control problem for nonlinear multiagent systems (MASs) subject to hybrid cyberattacks, including denial-of-service (DoS) attacks and deception attacks acting on different communication channels. Considering connectivity-maintained hybrid attacks, a da...