Abstract
This paper proposes an event-triggered distributed model predictive control algorithm for piecewise-affine systems. An event-triggering mechanism and a variable prediction horizon reduce both the frequency and complexity of online optimization, while adjustable thresholds provide a way to balance control performance against computational burden. State tubes and terminal sets tailored to piecewise-affine dynamics are used to establish recursive feasibility and closed-loop stability. Simulation results demonstrate the effectiveness of the method.
Aoyun MA
Assistant Professor
Dewei LI
Professor | Lab Leader
Currently serves as the Director of the Technical Committee on Predictive Control and Intelligent Decision of Chinese Association of Automation, Member of the Control Theory and Applications Education Working Group, and Editorial Member of Control Engineering Practice. He has led over 20 national-level projects, including Key Projects, General Projects and International Cooperation Projects from NSFC, Key Research and Development Programs from MOST. He has also undertaken more than 20 commissioned projects from key enterprises.
