Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Control Engineering and Optimization



+44 (0)20 7594 6343e.kerrigan Website




Miss Michelle Hammond +44 (0)20 7594 6281




1108cElectrical EngineeringSouth Kensington Campus





My research is on the development of new control theory and mathematical optimization methods for the design of cyber-physical systems, where physical systems affect computations and vice versa in a closed loop - by incorporating computational elements one can design systems with functionalities that are impossible by physical design alone. I am particularly interested in the interplay between the complexity of the algorithms, computing architecture and physical realization, and how these complexities need to be traded off to satisfy given system-wide performance specifications. Central to my work is the use of powerful optimization-based control methods, such as model predictive control (MPC), to handle nonlinearities and uncertainties in a systematic fashion. My particular expertise is in the design of efficient numerical methods and embedded computing architectures for solving advanced optimization, control and estimation problems in real-time. My theoretical research is motivated by and applied to a variety of problems in the design of aerospace, renewable energy and computing systems.

See my Google Scholar page for my most recent publications and preprints.


EPSRC Centre for Doctoral Training in High-performance Embedded and Distributed Systems: If you are interested in doing a PhD under my supervision in the area of model predictive control and optimization of computing systems or cyber-physical systems, please go to the HiPEDS applications page for details on how to apply for a position and studentship.


ECC 2016 Tutorial Session on Embedded Optimization: Presentations can be downloaded here.

My talk on co-design of optimization-based controllers, given at MATLAB EXPO 2015, is now available.

My talk on cyber-physical systems, hosted by the IET, is now available (audio starts at 1:05). See also the companion talk by Andy Chang from National Instruments with a further Q&A from both of us. 


  • 2006-present: Department of Aeronautics and Department of Electrical and Electronic Engineering, Imperial College London
  • 2014: Sabbatical Visitor, Department of Electrical and Electronic Engineering, University of Melbourne
  • 2002-2007: Royal Academy of Engineering Research Fellow, University of Cambridge and Imperial College London
  • 2001-2005: Research Fellow, Wolfson College and Department of Engineering, University of Cambridge
  • 2001-2002: Research Associate, Department of Engineering, University of Cambridge
  • 1997-2001: PhD in Control Engineering, St John's College and Department of Engineering, University of Cambridge
  • 1997: Electromechanical Engineer, Council for Scientific and Industrial Research (CSIR), South Africa
  • 1993-1996: BSc(Eng) in Electrical Engineering, University of Cape Town

Selected Publications

Journal Articles

Jerez JL, Goulart PJ, Richter S, et al., 2014, Embedded Online Optimization for Model Predictive Control at Megahertz Rates, IEEE Transactions on Automatic Control, Vol:59, ISSN:0018-9286, Pages:3238-3251

Jerez JL, Constantinides GA, Kerrigan EC, 2015, A Low Complexity Scaling Method for the Lanczos Kernel in Fixed-Point Arithmetic, IEEE Transactions on Computers, Vol:64, ISSN:0018-9340, Pages:303-315

Hartley EN, Jerez JL, Suardi A, et al., 2013, Predictive control using an FPGA with applicationto aircraft control, IEEE Transactions on Control Systems Technology, Vol:22, ISSN:1558-0865, Pages:1006-1017

Shahzad A, Kerrigan EC, Constantinides GA, 2012, A Stable and Efficient Method for Solving a Convex Quadratic Program with Application to Optimal Control, SIAM Journal on Optimization, Vol:22, ISSN:1052-6234, Pages:1369-1393

Jones BL, Kerrigan EC, 2010, When is the discretization of a spatially distributed system good enough for control?, Automatica, Vol:46, ISSN:0005-1098, Pages:1462-1468

Goulart PJ, Kerrigan EC, Ralph D, 2008, Efficient robust optimization for robust control with constraints, Mathematical Programming, Vol:114, ISSN:0025-5610, Pages:115-147

Goulart, P.J., Kerrigan, E.C., Maciejowski, J.M., 2006, Optimization over state feedback policies for robust control with constraints, Automatica, Vol:42, ISSN:0005-1098, Pages:523-533


Kerrigan EC, 2015, Feedback and Time are Essential for the Optimal Control of Computing Systems, Pages:380-387, ISSN:2405-8963

Kerrigan EC, Constantinides GA, Suardi A, et al., 2015, Computer Architectures to Close the Loop in Real-time Optimization, 54th IEEE Conference on Decision and Control (CDC), IEEE, Pages:4597-4611

Kerrigan EC, 2014, Co-design of Hardware and Algorithms for Real-time Optimization, 2014 European Control Conference (ECC), IEEE, Pages:2484-2489

More Publications