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Uncertainty modeling and robust control in urban traffic

T. Tettamanti ; I. Varga ; T. Péni ; T. Luspay ; Balazs Kulcsar (Institutionen för signaler och system, Reglerteknik)
IFAC Proceedings Volumes. 18th IFAC World Congress, Milano, 28 August - 2 September 2011 (1474-6670). Vol. 18 (2011), p. 14910-14915.
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Minimax, Robust; Uncertainty, Urban traffic control

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Denna post skapades 2011-11-14. Senast ändrad 2012-11-06.
CPL Pubid: 148487


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik



Chalmers infrastruktur