Different affine decomposition of the model of the TORA system by TP model transformation

Abstract

Abstract — The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter Varying (LPV) models into affine model form, namely, to parameter varying convex combination of Linear Time Invariant (LTI) models. The main advantage of the TP model transformation is that the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting affine models to yield controllers with tractable and guaranteed performance. The effectiveness of the LMI design depends on the LTI models of the convex combination. Therefore, the main objective of this paper is to study how the TP model transformation is capable of determining different types of convex hulls of the LTI models. This paper shows a case study of the TORA system. The theory and the definitions of the affine decomposition is discussed in the paper “Different Affine Decomposition of the Model of the Prototypical Aeroelastic Wing Section by TP model transformation, PART I” of this proceedings.