Model Predictive Control for Constrainted Switched Systems with its Applications

This paper considers the optimal control problem of a class of constrained switched systems based on the model predictive control approach. For a pre-specified sequence of active subsystems, the optimal switching instant sequence is obtained by solving a finite horizon constrained nonlinear optimiza...

Full description

Saved in:
Bibliographic Details
Published in2007 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 562 - 565
Main Authors Li-Guo Zhang, Yang-Zhou Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2007
Subjects
Constraints
Control engineering
Control systems
Cost function
Cybernetics
Machine learning
Model predictive control
Optimal control
Predictive control
Predictive models
Switched systems
Traffic control
Traffic signal control
Online AccessGet full text

Cover

More Information
Summary:This paper considers the optimal control problem of a class of constrained switched systems based on the model predictive control approach. For a pre-specified sequence of active subsystems, the optimal switching instant sequence is obtained by solving a finite horizon constrained nonlinear optimization problem and the first switching instant is applied to the system. Then, as an example, this result is applied to the traffic signal control of a single intersection.
ISBN:1424409721
9781424409723
ISSN:2160-133X
DOI:10.1109/ICMLC.2007.4370208