TY - JOUR
T1 - Optimal Hankel norm model reduction for discrete-time descriptor systems
AU - Cao, X.
AU - Saltik, M.B.
AU - Weiland, S.
PY - 2019/5
Y1 - 2019/5
N2 - Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based simulation and design. For the class of linear time-invariant systems, it is among the few optimal reduction methods for which a prior error bound between the original system and its approximation is known. However, for descriptor systems, this optimal approximation technique no longer applies. In this paper, we propose several definitions of the Hankel operator for dynamical discrete-time descriptor systems. We investigate the implications of these definitions for the problem of optimal model approximation of descriptor systems in the sense of the Hankel norm. Novel reduction algorithms are derived for this class of systems with and without preservation of the DAE-index. The performance of the proposed methods is illustrated by numerical examples.
AB - Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based simulation and design. For the class of linear time-invariant systems, it is among the few optimal reduction methods for which a prior error bound between the original system and its approximation is known. However, for descriptor systems, this optimal approximation technique no longer applies. In this paper, we propose several definitions of the Hankel operator for dynamical discrete-time descriptor systems. We investigate the implications of these definitions for the problem of optimal model approximation of descriptor systems in the sense of the Hankel norm. Novel reduction algorithms are derived for this class of systems with and without preservation of the DAE-index. The performance of the proposed methods is illustrated by numerical examples.
KW - Descriptor systems
KW - Hankel norm model reduction
KW - Finite Hankel matrix approximation
KW - Index reduction
UR - http://www.scopus.com/inward/record.url?scp=85063867523&partnerID=8YFLogxK
U2 - 10.1016/j.jfranklin.2018.11.047
DO - 10.1016/j.jfranklin.2018.11.047
M3 - Article
VL - 356
SP - 4124
EP - 4143
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
SN - 0016-0032
IS - 7
ER -