Proceedings of the 2011 American Control Conference 2011
DOI: 10.1109/acc.2011.5991406
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Freeway ramp metering: An LPV set theoretical analysis

Abstract: The paper contributes to the analysis of freeway traffic flow dynamics by set theoretic methods.First, the macroscopic, non-linear and second-order model of freeway traffic flow dynamics is transformed to an equivalent and quasi Linear Parameter Varying (LPV) representation by steady-state centering and state variable factorization. Second, a polytopic LPV model form is obtained from the quasi model reformulation. The latter polytopic LPV form is then used as a basis for the computation and analysis of disturb… Show more

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Cited by 5 publications
(3 citation statements)
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“…4. Construct a convex polytope of matrix functions in (18), which can be performed by applying numerical methods. For the case of the PW model, the method of tensor-product transformation [28] has been used.…”
Section: Representation Of Dynamical Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…4. Construct a convex polytope of matrix functions in (18), which can be performed by applying numerical methods. For the case of the PW model, the method of tensor-product transformation [28] has been used.…”
Section: Representation Of Dynamical Systemsmentioning
confidence: 99%
“…The proposed methodology is independent of the selected control decision algorithm and adjustable for different problem configurations. A preliminary version of the paper has been published in [18]. The current version is an extension of [18] in terms of methodological description, theoretical focus (t-step, reachability set), case study, and the depth of evaluation.The paper is structured in the following frame.…”
mentioning
confidence: 99%
“…Computational complexity relaxation of the TP model transformation for higher dimensional cases is proposed in . Further key applications of the TP model transformation are presented in , . Applications of the TP model transformation in conjunction with sliding‐mode control are presented in .…”
Section: Introductionmentioning
confidence: 99%