Positivity-preserving H∞ model reduction for positive systems

This paper is concerned with the model reduction of positive systems. For a given stable positive system, our attention is focused on the construction of a reduced-order model in such a way that the positivity of the original system is preserved and the error system is stable with a prescribed H1 performance. Based upon a system augmentation approach, a novel characterization on the stability with H1 performance of the error system is …rst obtained in terms of linear matrix inequality (LMI). Then, a necessary and su¢ cient condition for the existence of a desired reduced-order model is derived accordingly. A signi…cance of the proposed approach is that the reduced-order system matrices can be parametrized by a positive de…nite matrix with ‡exible structure, which is fully independent of the Lyapunov matrix; thus, the positivity constraint on the reduced-order system can be readily embedded in the model reduction problem. Furthermore, iterative LMI approaches with primal and dual forms are developed to solve the positivity-preserving H1 model reduction problem. Finally, a compartmental network is provided to show the e¤ectiveness of the proposed techniques.