Model predictive control with integrated experiment design for output error systems CA Larsson, M Annergren, H Hjalmarsson, CR Rojas, X Bombois, ... 2013 European Control Conference (ECC), 3790-3795, 2013 | 68 | 2013 |
Application-oriented input design in system identification: Optimal input design for control [applications of control] M Annergren, CA Larsson, H Hjalmarsson, X Bombois, B Wahlberg IEEE Control Systems Magazine 37 (2), 31-56, 2017 | 65 | 2017 |
Experimental evaluation of model predictive control with excitation (MPC-X) on an industrial depropanizer CA Larsson, CR Rojas, X Bombois, H Hjalmarsson Journal of Process Control 31, 1-16, 2015 | 53 | 2015 |
On optimal input design for nonlinear FIR-type systems CA Larsson, H Hjalmarsson, CR Rojas 49th IEEE Conference on Decision and Control (CDC), 7220-7225, 2010 | 36 | 2010 |
An application-oriented approach to dual control with excitation for closed-loop identification CA Larsson, A Ebadat, CR Rojas, X Bombois, H Hjalmarsson European Journal of Control 29, 1-16, 2016 | 35 | 2016 |
MPC oriented experiment design CA Larsson, CR Rojas, H Hjalmarsson IFAC Proceedings Volumes 44 (1), 9966-9971, 2011 | 33 | 2011 |
On optimal input design in system identification for model predictive control CA Larsson, M Annergren, H Hjalmarsson 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 27 | 2011 |
Application set approximation in optimal input design for model predictive control A Ebadat, M Annergren, CA Larsson, CR Rojas, B Wahlberg, ... 2014 European Control Conference (ECC), 744-749, 2014 | 18 | 2014 |
Application-oriented experiment design for industrial model predictive control CA Larsson KTH Royal Institute of Technology, 2014 | 18 | 2014 |
Robust and adaptive excitation signal generation for input and output constrained systems P Hägg, CA Larsson, H Hjalmarsson 2013 European Control Conference (ECC), 1416-1421, 2013 | 16 | 2013 |
MOOSE2—A toolbox for least-costly application-oriented input design M Annergren, CA Larsson SoftwareX 5, 96-100, 2016 | 15 | 2016 |
Fuel-efficient model predictive control for heavy duty vehicle platooning using neural networks G Ling, K Lindsten, O Ljungqvist, J Löfberg, C Norén, CA Larsson 2018 Annual American Control Conference (ACC), 3994-4001, 2018 | 14 | 2018 |
Applications oriented input design in time-domain through cyclic methods A Ebadat, B Wahlberg, H Hjalmarsson, CR Rojas, P Hägg, CA Larsson IFAC Proceedings Volumes 47 (3), 1422-1427, 2014 | 13 | 2014 |
Input signal generation for constrained multiple-input multple-output systems P Hägg, CA Larsson, A Ebadat, B Wahlberg, H Hjalmarsson IFAC Proceedings Volumes 47 (3), 1410-1415, 2014 | 13 | 2014 |
Toward applications oriented optimal input design with focus on model predictive control C Larsson KTH Royal Institute of Technology, 2011 | 12 | 2011 |
Robust Input Design For Resonant Systems Under Limit A Priori Information CA Larsson, E Geerardyn, J Schoukens 16th IFAC Symposium on System Identification, 2012 | 11 | 2012 |
Generation of excitation signals with prescribed autocorrelation for input and output constrained systems CA Larsson, P Hägg, H Hjalmarsson 2013 American Control Conference, 3918-3923, 2013 | 10 | 2013 |
On the way to autonomous model predictive control: A distillation column simulation study M Annergren, D Kauven, CA Larsson, MG Potters, Q Tran, L Ozkan IFAC Proceedings Volumes 46 (32), 713-720, 2013 | 9 | 2013 |
MOOSE2: Model Based Optimal Input Design Toolbox for MATLAB (Version 2): User’s Guide M Annergren, CA Larsson Online. https://www. kth. se/polopoly_fs/1.643297, 2016 | 5 | 2016 |
Moose: Model based optimal input signal design toolbox for matlab C Larsson, M Annergren Technical report, Royal Institute of Technology (KTH), 2011 | 5 | 2011 |