A New Approach to Robust MPC Design for LPV Systems in Input-Output Form. Issue 26 (2018)

• Record Type: Journal Article
• Authors: Abbas, Hossam S.; Hanema, Jurre; Tóth, Roland; Mohammadpour, Javad; Meskin, Nader
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 26(2018)
• Page Start: 112
• Page End: 117
• Publication Date: 2018
• Subjects: Model Predictive Control -- Robust Stability -- Performance -- LMI -- Convex Optimization -- Linear Parameter-Varying (LPV) Systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.11.159
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, a robust model predictive control (MPC) technique is introduced to control MIMO linear parameter-varying (LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, which is a common form obtained through LPV system identification. The method guarantees asymptotic stability of the closed-loop system and provides integral action for a given piecewise constant reference trajectory based on past measurements of the inputs and outputs. The technique offers computationally more efficient and less conservative design approach compared to previous works. A simulation example is given to demonstrate the effectiveness of the proposed technique.