Observers with aperiodic measurements: The simpler the better?

This study investigates different observer architectures for the state estimation of linear aperiodic sampled-data systems and formally shows that a complex structure is not necessarily better than a simpler one with respect to the considered cost functional and to a class of timer-dependent Lyapunov functions. The work also shows how to design the state observer through sum of squares programming, presenting a numerical example. [ABSTRACT FROM AUTHOR]