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Online Feedback Optimization for Transportation Systems
We want to apply the novel class of Online Feedback Optimization Controllers to Transportation Systems. The advantage of these controllers is that they do not track a reference point, but rather drive the system to an optimal point defined by an optimization problem.
Keywords: Online Feedback Optimization
Control Systems
Transportation System
Mobility
Online Feedback Optimization is a novel way of controlling a system. The goal of such a controller is not to track a reference point, but to drive the system to an optimal point defined by an optimization problem (e.g. maximum efficiency, minimum travel time).
These controllers use optimisation algorithms and put them to use in a closed-loop control system. This enables us to steer the system to an optimal point while taking constraints of the system into account (maximum actuation, max velocity, etc).
These novel controllers have already shown there superiority in power systems. Now, we want to apply them to transportation systems.
Online Feedback Optimization is a novel way of controlling a system. The goal of such a controller is not to track a reference point, but to drive the system to an optimal point defined by an optimization problem (e.g. maximum efficiency, minimum travel time). These controllers use optimisation algorithms and put them to use in a closed-loop control system. This enables us to steer the system to an optimal point while taking constraints of the system into account (maximum actuation, max velocity, etc). These novel controllers have already shown there superiority in power systems. Now, we want to apply them to transportation systems.
The student will be introduced and taught in the concept of Online Feedback Optimization. Furthermore, the student will be given transportation system models and control problems in the field of transportation systems that can be solved with Online Feedback Optimization Controllers. After this initial phase, the student will exploit the transportation system literature for further models and control problems.
Once the most suitable model(s) and control problem(s) is(are) identified, the student will implement the models and controller and analyse the performance.
The project can be adapted on the run if new interesting research directions arise.
Finally, if the results are promising they can be turned into a publication.
The student will be introduced and taught in the concept of Online Feedback Optimization. Furthermore, the student will be given transportation system models and control problems in the field of transportation systems that can be solved with Online Feedback Optimization Controllers. After this initial phase, the student will exploit the transportation system literature for further models and control problems.
Once the most suitable model(s) and control problem(s) is(are) identified, the student will implement the models and controller and analyse the performance.
The project can be adapted on the run if new interesting research directions arise.
Finally, if the results are promising they can be turned into a publication.
Lukas Ortmann: ortmannl@control.ee.ethz.ch
Miguel Picallo Cruz: miguelp@control.ee.ethz.ch
Lukas Ortmann: ortmannl@control.ee.ethz.ch Miguel Picallo Cruz: miguelp@control.ee.ethz.ch