Richard Oberdieck
Ph.D. Student | richard.oberdieck11@imperial.ac.uk |
Research interestsWhile initially focussed on multi-parametric mixed-integer programming algorithms, Richard's work now touches upon many different areas within multi-parametric programming and explicit MPC. Recent advances include algorithms for the efficient removal of redundant constraints, an algorithm for the explicit solution of multi-objective optimization problems as well as extensive work on POP, the Parametric Optimization Toolbox. |
Publications
- Multi-parametric Optimization and Control; John Wiley & Sons, 2020, 2020.
- Explicit Model Predictive Control: A connected-graph approach. Automatica 2017, 76, 103-112.
- On unbounded and binary parameters in multi-parametric programming: Applications to mixed-integer bilevel optimization and duality theory. Journal of Global Optimization 2017, 69 (3), 587-606.
- Explicit Hybrid Model Predictive Control Strategies for Intravenous Anaesthesia. Computers & Chemical Engineering 2017, 106, 814-825.
- Multi-objective optimization with convex quadratic cost functions: A multi-parametric programming approach. Computers & Chemical Engineering 2016, 85, 36-39.
- Advanced Control Strategies for the Multicolumn Countercurrent Solvent Gradient Purification Process (MCSGP). AIChE Journal 2016, 62 (7), 2341-2357.
- POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research 2016, 55 (33), 8979-8991.
- Parallel computing in multi-parametric programming. 26th European Symposium on Computer Aided Process Engineering; Elsevier, 2016;, Computer Aided Chemical Engineering 38 pp 169-174.
- Computational tools for the advanced control of periodic processes - Application to a chromatographic separation. 26th European Symposium on Computer Aided Process Engineering; Elsevier, 2016;, Computer Aided Chemical Engineering 38 pp 1665-1670.
- Development of advanced computational tools for the intensification of monoclonal antibody production. 26th European Symposium on Computer Aided Process Engineering; Elsevier, 2016;, Computer Aided Chemical Engineering 38 pp 1659-1664.
- A centralized/decentralized control approach for periodic systems with application to chromatographic separation processes. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems; 2016;, IFAC-PapersOnLine 49 Paper 7, pp 159-164.
- Development of advanced control strategies for periodic systems: An application to chromatographic separation processes. American Control Conference (ACC); 2016; pp 4175-4180.
- Explicit MPC in real-world applications: The PAROC framework. American Control Conference (ACC); 2016; pp 913-918.
- On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design 2016, 116, 61-82.
- Explicit hybrid model-predictive control: The exact solution. Automatica 2015, 58, 152-159.
- PAROC-An integrated framework and software platform for the optimisation and advanced model-based control of process systems. Chemical Engineering Science 2015, 136, 115-138.
- A framework for hybrid multi-parametric model-predictive control with application to intravenous anaesthesia. 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering; Elsevier, 2015;, Computer Aided Chemical Engineering 37 pp 719-724.
- Offset-free explicit hybrid model predictive control of intravenous anaesthesia. IEEE International Conference on Systems, Man and Cybernetics (SMC); 2015; pp 2475-2480.
- A control strategy for periodic systems - application to the twin-column MCSGP. 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering; Elsevier, 2015;, Computer Aided Chemical Engineering 37 pp 1505-1510.
- An explicit Hybrid Model Predictive Control Strategy for Intravenous Anaesthesia. 9th IFAC Symposium on Biological and Medical Systems (BMS); 2015;, IFAC-PapersOnLine 48 pp 58-63.
- A branch and bound method for the solution of multiparametric mixed integer linear programming problems. Journal of Global Optimization 2014, 59 (2-3), 527-543.