Model Predictive Control for Discrete and Continuous Timed Petri Nets

作     者：Marwa Taleb Edouard Leclercq Dimitri Lefebvre 

作者机构：Laboratory GREAH University of Le Havre 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2018年第15卷第1期

页      面：25-38页

核心收录：

学科分类：08[工学] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the region Haute-Normandie Project(Nos.CPER-SER-DDSMRI 2013 2014 and CPER-SER-SEL 2015) 

主　　题：Model predictive control timed continuous Petri net (TCPN) T-timed discrete Petri net (T-TDPN) fluidification optimization constant control. 

摘      要：The goal of this paper is to propose a unique control method that permits the evolution of both timed continuous Petri net （TCPN） and T-timed discrete Petri net （T-TDPN） from an initial state to a desired one. Model predictive control （MPC） is a robust control scheme against perturbation and a consistent real-time constraints method. Hence, the proposed approach is studied using the MPC. However, the computational complexity may prevent the use of the MPC for large systems and for large prediction horizons. Then, the proposed approach provides some new techniques in order to reduce the high computational complexity; among them one is taking constant control actions during the prediction.