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The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Model predictive control of timed continuous petri nets
Author: Zhan, Huaiyu
View Online: njit-etd2014-039
(ix, 26 pages ~ 1.8 MB pdf)
Department: Department of Electrical and Computer Engineering
Degree: Master of Science
Program: Electrical Engineering
Document Type: Thesis
Advisory Committee: Zhou, MengChu (Committee chair)
Shi, Yun Q. (Committee member)
Yan, Mingming (Committee member)
Date: 2014-01
Keywords: Timed continuous petri nets
Model predictive control
Availability: Unrestricted
Abstract:

This thesis addresses the optimal control problem of timed continuous Petri nets. The theory of Model Predictive Control (MPC) is first discussed. Then continuous Petri nets (PN) are introduced as a powerful tool for modelling, simulation and analysis of discrete event/continuous systems. Their useful capabilities are studied. Finally, a macroscopic model based on PN as a tool for designing control laws that improve the behavior of traffic systems is given. The goal is to find an approach that minimizes the total delay of cars in an intersection by computing the switching sequence of the traffic lights. The simulation results show that by using an MPC strategy to handle the variability of traffic conditions, the total delay is dramatically reduced.


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