Uncertainty modeling and robust control in urban traffic
Paper i proceeding, 2011

The paper investigates the problem of uncertainty modeling and constrained robust control of urban traffic. Linear polytopic approach is used by state-space representations to describe the uncertain network system. In order to handle model mismatches, robust and infinite horizon model predictive control (MPC) method is proposed. The control strategy is an efficient method to reduce travel time and improve homogeneous traffic flow under changing model conditions. Centralized numerical solution has been carried out as a solution of Linear Matrix Inequalities (LMI) by using semidefinite programming (SDP). Closed-loop control results were tested in simulation environment taking alternative model uncertainty levels into account.

Urban traffic control

Robust

Minimax

Uncertainty

Författare

T. Tettamanti

Budapest University of Technology and Economics

I. Varga

Computer and Automation Research Institute Hungarian Academy of Sciences

T. Péni

Computer and Automation Research Institute Hungarian Academy of Sciences

T. Luspay

Computer and Automation Research Institute Hungarian Academy of Sciences

Balázs Adam Kulcsár

Signaler och system, System- och reglerteknik, Reglerteknik

IFAC Proceedings Volumes (IFAC-PapersOnline)

14746670 (ISSN)

Vol. 18 14910-14915

Styrkeområden

Transport

Ämneskategorier

Reglerteknik

DOI

10.3182/20110828-6-IT-1002.00612

ISBN

978-390266193-7