Model-Free Adaptive Control of Second-Order Multi-Agent Systems via Backstepping Under Mixed Attacks

Dong Liu

Abstract:

Abstract—This paper employs model-free adaptive control
methods to investigate second-order multi-agent systems under mixed attacks. Initially, based on backstepping techniques,
second-order multi-agent systems are equivalently transformed
into two interconnected first-order subsystems to reduce structural complexity. Additionally, considering the impacts of multi-source mixed network attacks, compensation mechanisms that
apply predictive distributed output are designed, which eliminate
the negative consequences of such attacks. Furthermore, leveraging only input-output data from each subsystem, a distributed
model-free adaptive control scheme utilizing backstepping is
developed to achieve consensus. Finally, the effectiveness of the
proposed method is validated through two simulation examples.

Submission Number: 44