Observer-Based Distributed Model-Free Adaptive Control for Nonlinear MASs Under FDI Attacks and Channel Fading

This paper mainly studies the distributed resilient model-free adaptive control problem for a class of observer-dependent nonlinear multi-agent systems under FDI attacks and channel fading. Firstly, for multi-agent systems, we adopt a hierarchical control architecture. In this architecture, the observer used is a distributed observer and the corresponding controller is a distributed data-driven adaptive learning controller. This scheme of designing the controller and the observer separately takes symmetry into account and solves the problem of system heterogeneity. Secondly, under this observer, a distributed resilient controller is proposed for FDI attacks, enabling the followers to track the estimated leader information.