Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Research Postgraduate



+44 (0)20 7594 6632richard.oberdieck11 CV




C511Roderic Hill BuildingSouth Kensington Campus





Researcher in process systems engineering on process optimization and control. Specifically, the key focus areas of my research are

  • Multi-parametric programming
  • Explicit model predictive control.

Highlights of my research include the development of state-of-the-art algorithms for mp-QP and mp-MIQP algorithms as well as their application to explicit MPC problems in energy systems, healthcare and bio-manufacturing.

This led to the development of the POP toolbox, a MATLAB software toolbox for multi-parametric programming and explicit model predictive control. It can be downloaded here and tutorial videos can also be found on YouTube.



Oberdieck R, Pistikopoulos EN, 2016, Multi-objective optimization with convex quadratic cost functions: A multi-parametric programming approach, Computers & Chemical Engineering, Vol:85, ISSN:0098-1354, Pages:36-39

Papathanasiou MM, Avraamidou S, Oberdieck R, et al., 2016, Advanced Control Strategies for the Multicolumn Countercurrent Solvent Gradient Purification Process, Aiche Journal, Vol:62, ISSN:0001-1541, Pages:2341-2357

Oberdieck R, Pistikopoulos EN, 2015, Explicit hybrid model-predictive control: The exact solution, Automatica, Vol:58, ISSN:0005-1098, Pages:152-159


Nascu I, Oberdieck R, Pistikopoulos EN, 2015, A framework for hybrid multi-parametric model-predictive control with application to intravenous anaesthesia, 12th International Symposium on Process Systems Engineering (PSE) / 25th European Symposium on Computer Aided Process Engineering (ESCAPE), ELSEVIER SCIENCE BV, Pages:719-724, ISSN:1570-7946

Naşcu I, Oberdieck R, Pistikopoulos EN, 2015, An explicit hybrid model predictive control strategy for intravenous anaesthesia, Pages:58-63

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