We study the problems of determining the detectability and designing a state observer for linear timeinvariant systems from measured data. First, we establish algebraic criteria to verify the detectability of the system from noise-free data. Then, we formulate data-driven linear matrix inequality-based conditions for observer design. Finally, we give conditions to infer the detectability of the system from noisy data.
IEEE 61st Conference on Decision and Control (CDC)