Efficient Reduction Methods for Linear Parameter-Varying State-Space Models: A Comparative Study

This paper presents an overview and comparative study of state-order reduction (SOR) and scheduling dimension reduction (SDR) methods for linear parameter-varying (LPV) state-space models, evaluating their capabilities, limitations, and performance across different benchmark configurations.