On kernel structures for regularized system identification (II): a system theory perspective

Abstract

In this companion paper, we will continue our discussions on the issue of kernel structure design and we will focus on the system theory perspective. In particular, we will study the stability, maximum entropy property, Markov property and model complexity of the recently introduced state space model induced kernel. These findings motivate a system theory perspective to understand the behavior of kernels and to construct more general kernels.