PhD: Model Predictive Control of Uncertain Switching Max-Plus Linear Systems

PhD: Model Predictive Control of Uncertain Switching Max-Plus Linear Systems

Published Deadline Location
23 Oct 1 Dec Delft

You cannot apply for this job anymore (deadline was 1 Dec 2017).

Browse the current job offers or choose an item in the top navigation above.

The switching max-plus-linear (SMPL) system description,
scheduling and synchronisation of cyclic discrete-event systems,
systems and control, applied mathematics, mechanical engineering, electrical engineering, computer science

Job description

The switching max-plus-linear (SMPL) system description is a powerful modelling tool for many applications that involve scheduling and synchronisation of cyclic discrete-event systems, such as manufacturing systems, traffic networks, printers, legged robots, queuing systems, and array processors. The switching mechanism of the SMPL system describes the switching of the SMPL system from one mode into another. In each mode the system is described by a max-plus-linear state equation and a max-plus-linear output equation, where a max-plus linear equation is an equation that is nonlinear in the conventional algebra, but linear in the so-called max-plus algebra. In each mode we have different system matrices, which means that in SMPL systems the routing of the events, the event order, and/or synchronisation may change due to uncertain events, state behaviour or due to control actions.
The project aims at developing new insights in the system-theoretical properties of SMPL systems in the presence of uncertainty, and at using this knowledge to develop new model predictive controllers for different types of uncertain SMPL systems. Uncertainty in the system parameters may occur when processing times (production times, transport times) are uncertain. Uncertainty in the switching may happen when routes are uncertain or process failures occur.
The research will require the use of skills in the fields of control of hybrid systems, max-plus linear algebra, graph theory, and stochastics.

Specifications

Delft University of Technology (TU Delft)

Requirements

Applicants should have the following qualifications:
• An MSc degree in systems and control, applied mathematics, mechanical engineering, electrical engineering, computer science, or a related field.
• Basic knowledge of control systems theory (this requirement may be waived if the candidate is particularly skilled in mathematics).
• Strong analytical skills and ability to work at the intersection of several research domains, in particular control systems theory and mathematics.
• Basic programming skills in Matlab are expected.
• Good command of the English language and communication skills are required.

Conditions of employment

Fixed-term contract: 4 years.

The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit graduateschool.tudelft.nl/ for more information.

For more information about this position, please contact dr. Ton van den Boom, a.j.j.vandenboom@tudelft.nl.
To apply, please send the following:
(1) a detailed curriculum vitae,
(2) a separate motivation letter stating why the proposed research topic interests you, names and contact information of references, and other information that might be relevant to your application,
(3) academic transcripts of both your BSc and MSc degrees,
(4) publications (if any) and (an abstract of) your MSc thesis.  
Please e-mail your application by 1 December 2017 to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-57.

Employer

Delft University of Technology

Delft University of Technology (the TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

http://www.tudelft.nl

Department

Mechanical, Maritime and Materials Engineering

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation, and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics, and transportation systems.

Specifications

  • PhD
  • Engineering
  • max. 38 hours per week
  • max. €2840 per month
  • 3ME17-57

Employer

Delft University of Technology (TU Delft)

Learn more about this employer

Location

Mekelweg 2, 2628 CD, Delft

View on Google Maps

Interesting for you