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Uncertainty modeling and robust control in urban traffic
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- Tettamanti, T. (author)
- Budapesti Muszaki es Gazdasagtudomanyi Egyetem,Budapest University of Technology and Economics
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- Varga, I. (author)
- Magyar Tudomanyos Akademia,Hungarian Academy of Sciences
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- Péni, T. (author)
- Magyar Tudomanyos Akademia,Hungarian Academy of Sciences
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- (creator_code:org_t)
- ISBN 9783902661937
- 2011
- 2011
- English.
- In: IFAC Proceedings Volumes (IFAC-PapersOnline). - 2405-8963. - 9783902661937 ; 18:PART 1, s. 14910-14915
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Minimax
- Robust
- Urban traffic control
- Uncertainty
Publication and Content Type
- kon (subject category)
- ref (subject category)
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- Chalmers University of Technology
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