Sample-based observability of linear discrete-time systems

Abstract

In this work, sample-based observability of linear discrete-time systems is studied. That is, we consider the case where the system output measurements are not available at every time instance. It is shown that some discrete-time systems exhibit particular behaviors that lead to pathological sampling. Depending on the characteristics of the system, different sampling schemes are developed that allow the system state to be reconstructed.

Cited by in corpus (3)

• Data-based system representations from irregularly measured data
• Sample-based nonlinear detectability for discrete-time systems
• On sample-based functional observability of linear systems