2015 European Control Conference (ECC) 2015
DOI: 10.1109/ecc.2015.7330723
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Traffic flow parameter estimation based on an adjoint method

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Cited by 1 publication
(4 citation statements)
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“…The discrete gradients Ldis are the inputs of the optimization algorithm. Instead of the algorithm constructed by using a gradient descent with the line search method (which gives a slower convergence as presented in out other works()), the interior point method is used as the optimization algorithm through using the fmincon function of MATLAB where the calculated gradients are fed into this function. The Hessian matrix is approximated by the Broyden‐Fletcher‐Goldfarb‐Shanno algorithm.…”
Section: Optimal Estimation Methodsmentioning
confidence: 99%
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“…The discrete gradients Ldis are the inputs of the optimization algorithm. Instead of the algorithm constructed by using a gradient descent with the line search method (which gives a slower convergence as presented in out other works()), the interior point method is used as the optimization algorithm through using the fmincon function of MATLAB where the calculated gradients are fed into this function. The Hessian matrix is approximated by the Broyden‐Fletcher‐Goldfarb‐Shanno algorithm.…”
Section: Optimal Estimation Methodsmentioning
confidence: 99%
“…27 The authors also investigated a variational calculus-based approach to estimate the initial condition and parameters in both overland flow 28,29 and free traffic flow described by the Lighthill-Whitham-Richards (LWR) model. 30 By using real field data, its applicability was verified on the Tondi Kiboro catchment. 31 The state and distributed parameter identification for a class of a hyperbolic system with 2 numerical examples was addressed in our previous work.…”
Section: Introductionmentioning
confidence: 99%
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