Imperial College London

ProfessorEricKerrigan

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Control and Optimization
 
 
 
//

Contact

 

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

 
 
//

Assistant

 

Mrs Raluca Reynolds +44 (0)20 7594 6281

 
//

Location

 

1114Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

197 results found

Jones CN, Kerrigan EC, Maciejowski JM, 2007, Lexicographic perturbation for multiparametric linear programming with applications to control, AUTOMATICA, Vol: 43, Pages: 1808-1816, ISSN: 0005-1098

Journal article

Cagienard R, Grieder P, Kerrigan E C, Morari Met al., 2007, Move blocking strategies in receding horizon control, Journal of Process Control, Vol: 17, Pages: 563-570

Journal article

Necoara I, Kerrigan E C, De Schutter B, Van Den Boom, T J Jet al., 2007, Finite-horizon min-max control of max-plus-linear systems, IEEE Transactions on Automatic Control, Vol: 52, Pages: 1088-1093

Journal article

Goulart PJ, Kerrigan EC, Ralph D, 2007, Efficient Robust Optimization for Robust Control with Constraints., Mathematical Programming, Vol: 114, Pages: 115-147, ISSN: 1436-4646

This paper proposes an efficient computational technique for theoptimal control of linear discrete-time systems subject to bounded disturbanceswith mixed linear constraints on the states and inputs. The problem of computingan optimal state feedback control policy, given the current state, is non-convex.A recent breakthrough has been the application of robust optimizationtechniques to reparameterize this problem as a convex program. While thereparameterized problem is theoretically tractable, the number of variables isquadratic in the number of stages or horizon length N and has no apparentexploitable structure, leading to computational time of O(N6) per iteration ofan interior-point method. We focus on the case when the disturbance set is ∞-norm bounded or the linear map of a hypercube, and the cost function involvesthe minimization of a quadratic cost. Here we make use of state variables toregain a sparse problem structure that is related to the structure of the originalproblem, that is, the policy optimization problem may be decomposed into aset of coupled finite horizon control problems. This decomposition can then be formulated as a highly structured quadratic program, solvable by primaldualinterior-point methods in which each iteration requires O(N3) time. Thiscubic iteration time can be guaranteed using a Riccati-based block factorizationtechnique, which is standard in discrete-time optimal control. Numerical resultsare presented, using a standard sparse primal-dual interior point solver, thatillustrate the efficiency of this approach.

Journal article

Rakovic S V, Kerrigan E C, Kouramas K I, Mayne D Qet al., 2007, Optimized robust control invariance for linear discrete-time systems: Theoretical foundations, Automatica, Vol: 43, Pages: 831-841

Journal article

Rakovic S V, Kerrigan E C, Kouramas K I, Mayne D Qet al., 2007, Optimized robust control invariance for linear discrete-time systems: Theoretical foundations, Automatica, Vol: 43, Pages: 831-841

Journal article

Goulart PJ, Kerrigan EC, 2007, Output feedback receding horizon control of constrained systems, INTERNATIONAL JOURNAL OF CONTROL, Vol: 80, Pages: 8-20, ISSN: 0020-7179

Journal article

Mayne DQ, Kerrigan EC, 2007, Tube-based robust nonlinear model predictive control, IFAC Symposium on Nonlinear Control Systems (NOLCOS 2007)

Conference paper

Rakovic SV, Kerrigan EC, Mayne DQ, 2007, Optimal control and piecewise parametric programming

Conference paper

Spjotvold J, Kerrigan EC, Mayne DQ, Johansen TAet al., 2007, Constrained Optimal Control of Discontinuous Piecewise Affine Systems with Disturbances

Conference paper

Goulart PJ, Kerrigan EC, 2006, A convex formulation for receding horizon control of constrained discrete-time systems with guaranteed l2 gain, 45th IEEE Conference on Decision and Control, 2006, Pages: 5447-5452

Conference paper

Goulart PJ, Kerrigan EC, 2006, A Method for Robust Receding Horizon Output Feedback Control of Constrained Systems, 45th IEEE Conference on Decision and Control, 2006

Conference paper

Maciejowski J M, Goulart P J, Kerrigan E C, 2006, Constrained control using model predictive control, Advanced strategies in control systems with input and output constraints, Editors: Editor, Editor, Editor, ISBN: 9783540370093

Book chapter

Goulart PJ, Kerrigan EC, 2006, Robust Receding Horizon Control with an Expected Value Cost, International Control Conference 2006, Publisher: UKACC

Conference paper

Kerrigan EC, 2006, Receding Horizon Control, W.H. Kwon, S. Han; London Limited 2005, ISBN:1-84628-024-9, Automatica, Vol: 42, Pages: 1238-1240, ISSN: 0005-1098

Journal article

Spjotvold J, Kerrigan EC, Jones CN, Tondel P, Johansen TAet al., 2006, The Facet-to-Facet Property of Solutions to Convex Parametric Quadratic Programs and a new Exploration Strategy, Pages: 1208-1213

Conference paper

Spjotvold J, Kerrigan E C, Jones C N, Tondel P, Johansen T Aet al., 2006, On the facet-to-facet property of solutions to convex parametric quadratic programs, Automatica, Vol: 42, Pages: 2209-2214

Journal article

Goulart PJ, Kerrigan EC, Maciejowski JM, 2006, Optimization over state feedback policies for robust control with constraints, Automatica, Vol: 42, Pages: 523-533, ISSN: 0005-1098

Journal article

Mayne DQ, Rakovic SV, Vinter RB, Kerrigan ECet al., 2006, Characterization of the solution to a constrained H-infinity optimal control problem, AUTOMATICA, Vol: 42, Pages: 371-382, ISSN: 0005-1098

This paper obtains an explicit Solution to a finite horizon min-max optimal control problem where the system is linear and discrete-time with control and state constraints, and the cost quadratic; the disturbance is negatively costed, as in the standard H-infinity problem, and is constrained. The cost is minimized over control policies and maximized over disturbance sequences so that the Solution yields a feedback control. It is shown that, under certain conditions, the value function is piecewise quadratic and the optimal control policy piecewise affine, being quadratic and affine, respectively, in polyhedra that partition the domain of the value function. (C) 2005 Elsevier Ltd. All rights reserved.

Journal article

Pannocchia G, Kerrigan EC, 2005, Offset-free receding horizon control of constrained linear systems, AICHE JOURNAL, Vol: 51, Pages: 3134-3146, ISSN: 0001-1541

Journal article

Rakovic SV, Mayne DQ, Kerrigan EC, Kouramas KIet al., 2005, Optimized robust control invariant sets for constrained linear discrete-time systems

Conference paper

Goulart PJ, 2005, Relationships Between Affine Feedback Policies for Robust Control with Constraints, 16th IFAC World Congress on Automatic Control

Conference paper

Goulart PJ, Kerrigan EC, 2005, An efficient decomposition-based formulation for robust control with constraints, 16 IFAC World Congress on Automatic Control

Conference paper

Goulart PJ, Kerrigan EC, 2005, Relationships between affine feedback policies for robust control with constraints

Conference paper

Rakovic SV, Kerrigan EC, Kouramas KI, Mayne DQet al., 2005, Invariant approximations of the minimal robust. positively invariant set, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 50, Pages: 406-410, ISSN: 0018-9286

Journal article

Goulart PJ, Kerrigan EC, Maciejowski JM, 2005, State feedback policies for robust receding horizon control: uniqueness, continuity, and stability, 44th IEEE conference on decision and control & 44th European control conference, Seville, Spain, Publisher: New York; IEEE Control Systems Society; 2005, Pages: 3753-3758

Conference paper

Kouramas K, Rakovic SV, Kerrigan EC, Allwright J, Mayne DQet al., 2005, On the minimal robust positively invariant set for linear difference inclusions, 44th IEEE conference on decision and control & 44th European control conference, Seville, Spain, Publisher: New York; IEEE Control Systems Society; 2005, Pages: 2296-2301

Conference paper

Kouramas K, Rakovic SV, Kerrigan EC, Allwright J, Mayne DQet al., 2005, On the minimal robust positively invariant set for linear difference inclusions, 44th IEEE conference on decision and control & 44th European control conference, Seville, Spain, Publisher: New York; IEEE Control Systems Society; 2005, Pages: 2296-2301

Conference paper

Rakovic SV, Kerrigan EC, Mayne DQ, 2004, Optimal control of constrained piecewise affine systems with state- and input-dependent disturbances

Conference paper

Kerrigan EC, Maciejowski JM, 2004, Feedback min-max model predictive control using a single linear program: robust stability and the explicit solution, INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Vol: 14, Pages: 395-413, ISSN: 1049-8923

Journal article

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: id=00414077&limit=30&person=true&page=6&respub-action=search.html