Type II balanced truncation for deterministic bilinear control systems

TL;DR

This paper introduces a novel type II balanced truncation method for deterministic bilinear control systems, providing energy bounds valid beyond small neighborhoods and establishing an $H_$-error bound not previously known for such systems.

Contribution

It proposes a new type II balanced truncation approach for bilinear systems, extending model reduction techniques with control-aware Gramians and new error bounds.

Findings

Energy bounds valid beyond small neighborhoods

Established an $H_$-error bound for bilinear systems

Demonstrated improved model reduction accuracy

Abstract

When solving partial differential equations numerically, usually a high order spatial discretisation is needed. Model order reduction (MOR) techniques are often used to reduce the order of spatially-discretised systems and hence reduce computational complexity. A particular MOR technique to obtain a reduced order model (ROM) is balanced truncation (BT), a method which has been extensively studied for deterministic linear systems. As so-called type I BT it has already been extended to bilinear equations, an important subclass of nonlinear systems. We provide an alternative generalisation of the linear setting to bilinear systems which is called type II BT. The Gramians that we propose in this context contain information about the control. It turns out that the new approach delivers energy bounds which are not just valid in a small neighbourhood of zero. Furthermore, we provide an $H_\infty$-error bound which so far is not known when applying type I BT to bilinear systems.