Mark Cannon

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Saša V. Raković-Verified email at rakovic.xyz
JA RossiterUniversity of SheffieldVerified email at sheffield.ac.uk
Marko BacicRolls-Royce & University of OxfordVerified email at eng.ox.ac.uk
Young Il LeeProfessor, Seoul National University of Science and TechnologyVerified email at seoultech.ac.kr
Sebastian EastLecturer in Applied Control at the University of BristolVerified email at bristol.ac.uk
Johannes BürgerBMW GroupVerified email at bmw.de
Diego Muñoz-CarpinteroAssistant Professor, Universidad de O'HigginsVerified email at uoh.cl
Paul GoulartUniversity of OxfordVerified email at eng.ox.ac.uk
Rolf FindeisenTU DarmstadtVerified email at iat.tu-darmstadt.de
Martin Doff-SottaUniversity of OxfordVerified email at eng.ox.ac.uk
Yulong GaoDepartment of Electrical and Electronic Engineering, Imperial College LondonVerified email at imperial.ac.uk
Frank AllgöwerUniversity of Stuttgart, Universität StuttgartVerified email at ist.uni-stuttgart.de
Li DaiBeijing Institute of TechnologyVerified email at bit.edu.cn
Martin EvansPhD student, Engineering Science, Oxford UniversityVerified email at eng.ox.ac.uk
Shuhao YanUniversity of StuttgartVerified email at mathematik.uni-stuttgart.de
Christos PanosImperial College London, Chemical EngineeringVerified email at imperial.ac.uk
Michael GarstkaUniversity of OxfordVerified email at eng.ox.ac.uk
Venkatesh DeshmukhProfessor and Head, Department of Mechatronics Engineering, NMIMSVerified email at nmims.edu
Matthias LorenzenHS KemptenVerified email at hs-kempten.de
Yuanqing Xia (夏元清）School of Automation, Beijing Institute of TechnologyVerified email at bit.edu.cn

Mark Cannon

University of Oxford

Verified email at eng.ox.ac.uk - Homepage

Control theory Automatic control Model Predictive Control Robust Control


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Model predictive control B Kouvaritakis, M Cannon Switzerland: Springer International Publishing 38, 13-56, 2016	797	2016
Nonlinear Predictive Control: theory and practice B Kouvaritakis, M Cannon Iet, 2001	291	2001
Stochastic tubes in model predictive control with probabilistic constraints M Cannon, B Kouvaritakis, SV Rakovic, Q Cheng American Control Conference, 6274–6279, 2010	286	2010
Homothetic tube model predictive control SV Raković, B Kouvaritakis, R Findeisen, M Cannon Automatica 48 (8), 1631-1638, 2012	236	2012
Explicit use of probabilistic distributions in linear predictive control B Kouvaritakis, M Cannon, SV Rakovic, Q Cheng Automatica 46 (10), 1719-1724, 2010	234	2010
Probabilistic constrained MPC for systems with multiplicative and additive stochastic uncertainty M Cannon, B Kouvaritakis, X Wu IFAC World Congress, 15297–15302, 2008	222*	2008
Efficient nonlinear model predictive control algorithms M Cannon Annual Reviews in Control 28 (2), 229-237, 2004	220	2004
Parameterized tube model predictive control SV Rakovic, B Kouvaritakis, M Cannon, C Panos, R Findeisen IEEE Transactions on Automatic Control 57 (11), 2746-2761, 2012	207	2012
Robust MPC with recursive model update M Lorenzen, M Cannon, F Allgöwer Automatica 103, 461-471, 2019	194	2019
Space-frequency localized basis function networks for nonlinear system estimation and control M Cannon, JJE Slotine Neurocomputing 9 (3), 293-342, 1995	159	1995
Optimizing prediction dynamics for robust MPC M Cannon, B Kouvaritakis IEEE Transactions on Automatic Control 50 (11), 1892-1897, 2005	157	2005
Who needs QP for linear MPC anyway? B Kouvaritakis, M Cannon, JA Rossiter Automatica 38 (5), 879-884, 2002	145	2002
Nonlinear model predictive control with polytopic invariant sets M Cannon, V Deshmukh, B Kouvaritakis Automatica 39 (8), 1487-1494, 2003	143	2003
Robust tube MPC for linear systems with multiplicative uncertainty J Fleming, B Kouvaritakis, M Cannon IEEE Transactions on Automatic Control 60 (4), 1087-1092, 2014	141	2014
Model predictive control for systems with stochastic multiplicative uncertainty and probabilistic constraints M Cannon, B Kouvaritakis, X Wu Automatica 45 (1), 167-172, 2009	126	2009
Stochastic tube MPC with state estimation M Cannon, Q Cheng, B Kouvaritakis, SV Rakovic 19th International Symposium on MTNS, 11–16, 2010	125	2010
Robust tubes in nonlinear model predictive control M Cannon, J Buerger, B Kouvaritakis, S Rakovic IEEE Transactions on Automatic Control 56 (8), 1942-1947, 2011	114	2011
Constrained receding horizon predictive control for nonlinear systems YI Lee, B Kouvaritakis, M Cannon Automatica 38 (12), 2093-2102, 2002	108	2002
Probabilistic tubes in linear stochastic model predictive control M Cannon, B Kouvaritakis, D Ng Systems & Control Letters 58 (10-11), 747-753, 2009	103	2009
Robust MPC tower damping for variable speed wind turbines MA Evans, M Cannon, B Kouvaritakis IEEE Transactions on Control Systems Technology 23 (1), 290-296, 2014	95	2014

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