Print Email Facebook Twitter Efficient predictive model-based and fuzzy control for green urban mobility Title Efficient predictive model-based and fuzzy control for green urban mobility Author Jamshidnejad, A. (TU Delft Delft Center for Systems and Control) Contributor Hellendoorn, J. (promotor) Papageorgiou, M. (promotor) Degree granting institution Delft University of Technology Department Delft Center for Systems and Control Date 2017-06-22 Abstract In this thesis, we develop efficient predictive model-based control approaches, including model-predictive control (MPC) andmodel-based fuzzy control, for application in urban traffic networks with the aim of reducing a combination of the total time spent by the vehicles within the network and the total emissions. The thesis includes three main parts, where in the first part the main focus is on accurate approaches for estimating the macroscopic traffic variables, such as the temporal-spatial averages, from a microscopic point-of-view. The second part includes efficient approaches for solving the optimization problem of the nonlinear MPC controller. The third and last part of the thesis proposes an adaptive and predictivemodel-based type-2 fuzzy control scheme that can be implementedwithin amulti-agent control architecture. To reference this document use: https://doi.org/10.4233/uuid:1ec23f45-abd6-4310-b0e5-73338e655974 Publisher TRAIL Research School ISBN 978-90-5584-224-7 Bibliographical note TRAIL Thesis Series T2017/6, the Netherlands TRAIL Research School Part of collection Institutional Repository Document type doctoral thesis Rights © 2017 A. Jamshidnejad Files PDF thesis_updated.pdf 3.67 MB Close viewer /islandora/object/uuid:1ec23f45-abd6-4310-b0e5-73338e655974/datastream/OBJ/view