CONTINUOUS-TIME PARAMETER IDENTIFICATION FOR LPV MODELS USING ADAPTIVE OBSERVERS

In this paper a gray-box identification problem for Linear Parameter Varying (LPV) continuous-time systems is investigated. The proposed method is based on an adaptive observer scheme designed by applying general nonlinear ideas to the qLPV systems. The result is demonstrated through an estimation of the features of the gravity center of heavy vehicles.