Pontus Giselsson
Pontus Giselsson
Assistant Professor in Automatic Control, Lund University
Dirección de correo verificada de control.lth.se
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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
2272013
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
1822016
Distributed model predictive control with suboptimality and stability guarantees
P Giselsson, A Rantzer
49th IEEE conference on decision and control (CDC), 7272-7277, 2010
1432010
On feasibility, stability and performance in distributed model predictive control
P Giselsson, A Rantzer
IEEE Transactions on Automatic Control 59 (4), 1031-1036, 2013
922013
Diagonal scaling in Douglas-Rachford splitting and ADMM
P Giselsson, S Boyd
53rd IEEE Conference on Decision and Control, 5033-5039, 2014
802014
Tight global linear convergence rate bounds for Douglas–Rachford splitting
P Giselsson
Journal of Fixed Point Theory and Applications 19 (4), 2241-2270, 2017
602017
Improved fast dual gradient methods for embedded model predictive control
P Giselsson
IFAC Proceedings Volumes 47 (3), 2303-2309, 2014
582014
Monotonicity and restart in fast gradient methods
P Giselsson, S Boyd
53rd IEEE Conference on Decision and Control, 5058-5063, 2014
522014
Metric selection in fast dual forward–backward splitting
P Giselsson, S Boyd
Automatica 62, 1-10, 2015
502015
Low-rank optimization with convex constraints
C Grussler, A Rantzer, P Giselsson
IEEE Transactions on Automatic Control 63 (11), 4000-4007, 2018
382018
Preconditioning in fast dual gradient methods
P Giselsson, S Boyd
53rd IEEE Conference on Decision and Control, 5040-5045, 2014
342014
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
302020
Distributed receding horizon Kalman filter
JM Maestre, P Giselsson, A Rantzer
49th IEEE Conference on Decision and Control (CDC), 5068-5073, 2010
262010
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
252012
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
242020
Line search for averaged operator iteration
P Giselsson, M Fält, S Boyd
2016 IEEE 55th Conference on Decision and Control (CDC), 1015-1022, 2016
222016
Adaptive nonlinear model predictive control with suboptimality and stability guarantees
P Giselsson
49th IEEE Conference on Decision and Control (CDC), 3644-3649, 2010
192010
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
Low-rank inducing norms with optimality interpretations
C Grussler, P Giselsson
SIAM Journal on Optimization 28 (4), 3057-3078, 2018
152018
Improving fast dual ascent for MPC-Part II: The embedded case
P Giselsson
arXiv preprint arXiv:1312.3013, 2013
152013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20