Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling

This article is concerned with data-driven analysis of discrete-time systems under aperiodic sampling, and in particular a estimation the maximum sampling interval (MSI). The MSI relevant for controller design cyber-physical, embedded networked systems, since it gives limit on time span between instants such that stability guaranteed. We propose tools to compute given preferably large MSI, both directly from finite-length, noise-corrupted state-input trajectory system. follow two distinct approaches analysis, one taking robust control perspective other switched aperiodically sampled In numerical example subsequent discussion, we demonstrate efficacy our developed compare approaches.