Reset-free data-driven gain estimation

Power iteration using reversed-circulant matrices

More Info
expand_more

Abstract

A direct data-driven iterative algorithm is developed to accurately estimate the H norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real system.