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Pontus Giselsson
Pontus Giselsson
Assistant Professor in Automatic Control, Lund University
Verified email at control.lth.se
Title
Cited by
Cited by
Year
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
2512013
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
2252016
Distributed model predictive control with suboptimality and stability guarantees
P Giselsson, A Rantzer
49th IEEE conference on decision and control (CDC), 7272-7277, 2010
1492010
On feasibility, stability and performance in distributed model predictive control
P Giselsson, A Rantzer
IEEE Transactions on Automatic Control 59 (4), 1031-1036, 2013
1012013
Diagonal scaling in Douglas-Rachford splitting and ADMM
P Giselsson, S Boyd
53rd IEEE Conference on Decision and Control, 5033-5039, 2014
902014
Tight global linear convergence rate bounds for Douglas–Rachford splitting
P Giselsson
Journal of Fixed Point Theory and Applications 19 (4), 2241-2270, 2017
702017
Metric selection in fast dual forward–backward splitting
P Giselsson, S Boyd
Automatica 62, 1-10, 2015
622015
Improved fast dual gradient methods for embedded model predictive control
P Giselsson
IFAC Proceedings Volumes 47 (3), 2303-2309, 2014
612014
Monotonicity and restart in fast gradient methods
P Giselsson, S Boyd
53rd IEEE Conference on Decision and Control, 5058-5063, 2014
592014
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
552020
Low-rank optimization with convex constraints
C Grussler, A Rantzer, P Giselsson
IEEE Transactions on Automatic Control 63 (11), 4000-4007, 2018
492018
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
482020
Line search for averaged operator iteration
P Giselsson, M Fält, S Boyd
2016 IEEE 55th Conference on Decision and Control (CDC), 1015-1022, 2016
382016
Preconditioning in fast dual gradient methods
P Giselsson, S Boyd
53rd IEEE Conference on Decision and Control, 5040-5045, 2014
352014
Distributed receding horizon Kalman filter
JM Maestre, P Giselsson, A Rantzer
49th IEEE Conference on Decision and Control (CDC), 5068-5073, 2010
272010
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
262012
Adaptive nonlinear model predictive control with suboptimality and stability guarantees
P Giselsson
49th IEEE Conference on Decision and Control (CDC), 3644-3649, 2010
202010
Optimal convergence rates for generalized alternating projections
M Fält, P Giselsson
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2268-2274, 2017
172017
Nonlinear forward-backward splitting with projection correction
P Giselsson
SIAM Journal on Optimization 31 (3), 2199-2226, 2021
162021
Low-rank inducing norms with optimality interpretations
C Grussler, P Giselsson
SIAM Journal on Optimization 28 (4), 3057-3078, 2018
162018
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