Design of robust hierarchical control for homogeneous linear multi-agent systems with parametric uncertainty and external disturbance

This paper presents the design of robust hierarchical control for homogeneous linear multi-agent systems (MAS) subject to parametric uncertainty and external disturbance. Specifically, the control design is based on a two-layer hierarchical structure consisting of an upper layer and a lower layer. In the lower layer, each agent is represented by a linear time-invariant system and executes a local action. Moreover, each agent exchanges information with neighbouring agents in the upper layer through an undirected graph to achieve the global goal of stabilisation and disturbance attenuation for the MAS. We propose two robust control designs, namely, robust H-infinity hierarchical control and robust H-2 hierarchical control. The design of local and global feedback control laws is formulated as a constrained optimisation over linear matrix inequalities (LMI). The LMI formulation can effectively incorporate the design objective to minimise disturbance attenuation. Numerical results show that the proposed robust controls ensure robust stability of MAS and outperform the existing nominal controls by improving the disturbance attenuation.

Automated summary

This paper presents a design of robust hierarchical control for homogeneous linear multi-agent systems (MAS) with parametric uncertainty and external disturbance. The control design adopts a two-layer hierarchical structure where each agent executes local action and exchanges information with neighbouring agents to achieve global stabilisation and disturbance attenuation. Two robust control designs, robust H-infinity hierarchical control and robust H-2 hierarchical control, are proposed. The design of local and global feedback control laws is formulated as a constrained optimization problem using linear matrix inequalities (LMI). Numerical results demonstrate the effectiveness of the proposed robust controls in ensuring robust stability of MAS and improving disturbance attenuation.