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.

Minimax

Robust

Urban traffic control

Uncertainty

Författare

T. Tettamanti

Budapesti Muszaki es Gazdasagtudomanyi Egyetem

I. Varga

Magyar Tudomanyos Akademia

T. Péni

Magyar Tudomanyos Akademia

T. Luspay

Magyar Tudomanyos Akademia

Balázs Adam Kulcsár

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

IFAC Proceedings Volumes (IFAC-PapersOnline)

14746670 (ISSN)

Vol. 18 PART 1 14910-14915

Styrkeområden

Transport

Ämneskategorier

Reglerteknik

DOI

10.3182/20110828-6-IT-1002.00612

ISBN

978-390266193-7

Mer information

Senast uppdaterat

2018-04-16