Aperiodic event‐triggered robust model predictive control for linear parameter‐varying system with round‐robin protocol. (12th October 2021)

• Record Type: Journal Article
• Authors: Wang, Jun; Ding, Baocang; Wang, Ping
• Is Part Of: International journal of robust and nonlinear control. Volume 32:Number 1(2022)
• Page Start: 227
• Page End: 242
• Publication Date: 2021-10-12
• Subjects: aperiodic event‐triggered strategy -- feasibility -- linear parameter‐varying model -- robust model predictive control -- round‐robin protocol; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.5820
• Languages: English
• ISSNs: 1049-8923

Abstract

Abstract: This article investigates the robust model predictive control (MPC) problem for networked control systems represented by the linear parameter‐varying model, in which an event‐triggered strategy and the round‐robin (RR) protocol scheduling locate at the sensor‐to‐controller and controller‐to‐actuator channels, respectively. By considering the problems of system state immeasurable and communication burden in engineering application, an output feedback controller that combines the aperiodic event‐triggered strategy is applied, where the triggering condition is designed in a time‐varying fashion. In addition, in order to avoid unexpected data collisions, the RR protocol is utilized to schedule a shared network and guarantee the efficiency of the control system. The controller parameters are obtained by solving an online convex robust MPC optimization problem, and the feasibility of the optimization problem and closed‐loop stability are also addressed. The effectiveness of the proposed theoretical results is illustrated by a numerical simulation example.