© 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.An air vehicle has highly nonlinear and complicated dynamics, making it difficult to model an air vehicle using linear equations accurately. The dynamic behavior of the aircraft must be well understood in varying flight conditions to design a controller for an air vehicle. Nevertheless, the dynamics are ordinarily obtained in a single flight condition, and controllers are often designed to respond to a specific flight condition. The construction of a q-LPV model involves two steps: 1) local linear models are obtained using Jacobian Linearization, and 2) an interpolating function is defined to incorporate these models into a global LPV model. The contribution of this study is the implementation of the Lasso technique for evaluating scheduling functions. Finally, the effectiveness of the proposed method is shown by comparing the results with results obtained with the nonlinear simulation model.