DocumentCode :
3744028
Title :
Compositional controller synthesis for vehicular traffic networks
Author :
Eric S. Kim;Murat Arcak;Sanjit A. Seshia
Author_Institution :
Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, United States of America
fYear :
2015
Firstpage :
6165
Lastpage :
6171
Abstract :
We tackle the issue of scalability when synthesizing controllers for large signalized vehicular traffic networks with linear temporal logic specifications. Traffic networks lend themselves to a compositional synthesis approach because they are naturally decomposed into sub-networks. However, naïvely synthesizing controllers for individual sub-networks and interconnecting them can violate the specifications on the monolithic network. By exploiting notions of supply and demand in our system dynamics, we construct contracts between sub-networks that guarantee the soundness of the overall synthesized controller. The resulting decentralized control architecture consists of controllers that rely only on local state information.
Keywords :
"Contracts","Vehicles","Vehicle dynamics","Chlorine","Mathematical model","Supply and demand","Computer architecture"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7403189
Filename :
7403189
Link To Document :
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