A suboptimality approach to distributed H₂ control by dynamic output feedback

This paper deals with suboptimal distributed H₂ control by dynamic output feedback for homogeneous linear multi-agent systems. Given a linear multi-agent system, together with an associated H₂ cost functional, the objective is to design dynamic output feedback protocols that guarantee the associated cost to be smaller than an a priori given upper bound while synchronizing the controlled network. A design method is provided to compute such protocols. The computation of the two local gains in these protocols involves two Riccati inequalities, each of dimension equal to the dimension of the state space of the agents. The largest and smallest nonzero eigenvalue of the Laplacian matrix of the network graph are also used in the computation of one of the two local gains. A simulation example is provided to illustrate the performance of the proposed protocols.