Multi-agent control of urban transportation networks and of hybrid systems with limited information sharing

Renshi Luo

Research output: ThesisDissertation (TU Delft)

18 Downloads (Pure)

Abstract

This thesis aims at developing efficient methods for control of large-scale systems by employing state-of-the-art control methods and optimization techniques. This thesis is divided into two parts. In the first part, we address dynamic traffic routing for urban transportation networks. In the second part, we address multi-agent model predictive control of a class of hybrid systems with limiting information sharing and subject to global hard constraints.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • De Schutter, B.H.K., Supervisor
  • van den Boom, A.J.J., Advisor
Thesis sponsors
Award date30 Nov 2016
Publisher
Print ISBNs978-90-5584-213-1
DOIs
Publication statusPublished - 2016

Bibliographical note

TRAIL Thesis Series T2016/21, the Netherlands TRAIL Research School

Keywords

  • multi-agent control
  • model predictive control
  • dynamic traffic routing
  • hybrid systems

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