Document Type
Thesis
Date of Award
Fall 1-31-2014
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
MengChu Zhou
Second Advisor
Yun Q. Shi
Third Advisor
Mingming Yan
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.
Recommended Citation
Zhan, Huaiyu, "Model predictive control of timed continuous petri nets" (2014). Theses. 193.
https://digitalcommons.njit.edu/theses/193
