Approximate feedback linearization: least squares approximate integrating factors

Abstract

Considers the problem of finding an optimal scaling factor (a least squares approximate integrating factor) for a given characteristic one form. The least squares approximate integrating factors allow better least squares approximation of characteristic one-forms by exact forms and thus better approximation of nonlinearizable systems by linearizable ones. They also allow a unified approach to both least squares approximate and exact feedback linearization. >