We present a novel local approach to model linear parameter-varying (LPV) systems.
Linear state coordinate transformations extracted for a set of local LTI models.
Similarity transformation matrices computed by linear least-squares approximations.
Least-squares-based algorithms with fixed and dynamic reference state trajectories.
This LPV modeling method is easy-to-implement and relies on robust numerical tools.