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. 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 mechanism employing predictive
distributed output are designed, which mitigate 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: 138