Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices

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...

Feedforward Control in the Presence of Input Nonlinearities: With Application to a Wirebonder

The increasing demands on throughput and accuracy of semiconductor manufacturing equipment necessitates accurate feedforward motion control that includes compensation of input nonlinearities. The aim of this paper is to develop a data-driven feedforward approach consisting of a Wiener feedforward, i.e., linear parameterization with an output...