| Accelerated gradient methods and dual decomposition in distributed model predictive control P Giselsson, MD Doan, T Keviczky, B De Schutter, A Rantzer Automatica 49 (3), 829-833, 2013 | 299 | 2013 |
| Linear convergence and metric selection for Douglas-Rachford splitting and ADMM P Giselsson, S Boyd IEEE Transactions on Automatic Control 62 (2), 532-544, 2016 | 295 | 2016 |
| Distributed model predictive control with suboptimality and stability guarantees P Giselsson, A Rantzer 49th IEEE Conference on Decision and Control (CDC), 7272-7277, 2010 | 155 | 2010 |
| On feasibility, stability and performance in distributed model predictive control P Giselsson, A Rantzer IEEE Transactions on Automatic Control 59 (4), 1031-1036, 2013 | 129 | 2013 |
| Diagonal scaling in Douglas-Rachford splitting and ADMM P Giselsson, S Boyd 53rd IEEE Conference on Decision and Control, 5033-5039, 2014 | 106 | 2014 |
| Operator splitting performance estimation: Tight contraction factors and optimal parameter selection EK Ryu, AB Taylor, C Bergeling, P Giselsson SIAM Journal on Optimization 30 (3), 2251-2271, 2020 | 104 | 2020 |
| Tight global linear convergence rate bounds for Douglas–Rachford splitting P Giselsson Journal of Fixed Point Theory and Applications 19 (4), 2241-2270, 2017 | 90 | 2017 |
| Improved fast dual gradient methods for embedded model predictive control P Giselsson IFAC Proceedings Volumes 47 (3), 2303-2309, 2014 | 87* | 2014 |
| Two applications of deep learning in the physical layer of communication systems [lecture notes] E Bjornson, P Giselsson IEEE Signal Processing Magazine 37 (5), 134-140, 2020 | 82 | 2020 |
| Monotonicity and restart in fast gradient methods P Giselsson, S Boyd 53rd IEEE Conference on Decision and Control, 5058-5063, 2014 | 81 | 2014 |
| Metric selection in fast dual forward–backward splitting P Giselsson, S Boyd Automatica 62, 1-10, 2015 | 70 | 2015 |
| Efficient downlink power allocation algorithms for cell-free massive MIMO systems S Chakraborty, ÖT Demir, E Björnson, P Giselsson IEEE Open Journal of the Communications Society 2, 168-186, 2020 | 62 | 2020 |
| Low-rank optimization with convex constraints C Grussler, A Rantzer, P Giselsson IEEE Transactions on Automatic Control 63 (11), 4000-4007, 2018 | 59 | 2018 |
| Preconditioning in fast dual gradient methods P Giselsson, S Boyd 53rd IEEE Conference on Decision and Control, 5040-5045, 2014 | 41 | 2014 |
| Line search for averaged operator iteration P Giselsson, M Fält, S Boyd 2016 IEEE 55th Conference on Decision and Control (CDC), 1015-1022, 2016 | 39 | 2016 |
| Nonlinear forward-backward splitting with projection correction P Giselsson SIAM Journal on Optimization 31 (3), 2199-2226, 2021 | 35 | 2021 |
| Joint analog beam selection and digital beamforming in millimeter wave cell-free massive MIMO systems CM Yetis, E Björnson, P Giselsson IEEE Open Journal of the Communications Society 2, 1647-1662, 2021 | 34 | 2021 |
| Execution time certification for gradient-based optimization in model predictive control P Giselsson 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 3165-3170, 2012 | 30 | 2012 |
| Distributed receding horizon Kalman filter JM Maestre, P Giselsson, A Rantzer 49th IEEE Conference on Decision and Control (CDC), 5068-5073, 2010 | 28 | 2010 |
| Towards real-time ADMM for linear MPC MS Darup, G Book, P Giselsson 2019 18th European Control Conference (ECC), 4276-4282, 2019 | 23 | 2019 |
