Model reduction for systems with nonzero initial conditions and output error bounds

Abstract

This paper proposes a new algorithm that reduces a large scale linear-time-invariant system having nonzero initial conditions into a smaller scale system. The estimation for the error between two outputs of the original and of the reduced systems is derived.