We investigate stability analysis and controller design of unknown continuous-time systems under state-feedback with aperiodic sampling, using only noisy data but no model knowledge. first derive a novel data-dependent parametrization all linear time-invariant which are consistent the measured assumed noise bound. Based on this by combining tools from robust control theory time-delay approach t...

Random sampling is a technique for signal acquisition which is gaining popularity in practical signal processing systems. Nowadays, eventdriven analog-to-digital converters make random sampling feasible in practical applications. A process of random sampling is defined by a sampling pattern, which indicates signal sampling points in time. Practical random sampling patterns are constrained by AD...