Sharif University of Technology Scientia Iranica 1026-3098 28 2 2021 04 01 Gain-scheduled H_2/H_∞ autopilot design with regional pole placement constraints: An LMI-based approach 757 772 22094 10.24200/sci.2020.53269.3154 EN H. Behrouz Faculty of Electrical Engineering, Malek Ashtar University of Technology, Tehran, P.O. Box 15875-1774, Iran I. Mohammadzaman Faculty of Electrical Engineering, Malek Ashtar University of Technology, Tehran, P.O. Box 15875-1774, Iran 0000-0002-9346-6541 A. Mohammadai Faculty of Electrical Engineering, Malek Ashtar University of Technology, Tehran, P.O. Box 15875-1774, Iran Journal Article 2019 04 04 In this paper, a gain-scheduled three loop autopilot is designed for a pursuit system which can guarantee the mixed H_2/H_∞ performance and time domain constraints. The gain-scheduled autopilot problem is converted into a static state feedback control for a Linear Parameter Varying (LPV) system and then a control method is proposed by following the Linear Matrix Inequalities (LMIs) approach to satisfy the mixed H_2/H_∞ performance with regional pole placement constraints without any constraints on system matrices. The final gain-scheduled controller is obtained by the interpolation of the finite number of fixed controllers in every vertex, guaranteeing the stability and performance of the LPV system. The simulation results demonstrate the efficiency of the proposed method for the three loop autopilot design. https://scientiairanica.sharif.edu/article_22094_e58bdc602126f03fcc5739825d2d6a2f.pdf