Adaptive Nonlinear Model Predictive Control with suboptimality and stability guarantees. - Pontus Giselsson (CDC, 2010)

Distributed Model Predictive Control with suboptimality and stability guarantees. - Pontus Giselsson; Anders Rantzer (CDC, 2010)

Distributed receding horizon Kalman filter. - Jose Maria Maestre 001; Pontus Giselsson; Anders Rantzer (CDC, 2010)

Execution time certification for gradient-based optimization in model predictive control. - Pontus Giselsson (CDC, 2012)

A generalized distributed accelerated gradient method for distributed model predictive control with iteration complexity bounds. - Pontus Giselsson (ACC, 2013)

Optimal preconditioning and iteration complexity bounds for gradient-based optimization in model predictive control. - Pontus Giselsson (ACC, 2013)

Output feedback distributed model predictive control with inherent robustness properties. - Pontus Giselsson (ACC, 2013)

Accelerated gradient methods and dual decomposition in distributed model predictive control. - Pontus Giselsson; Minh Dang Doan; Tamás Keviczky; Bart De Schutter; Anders Rantzer (Autom., 2013)

A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley - Minh Dang Doan; Pontus Giselsson; Tamás Keviczky; Bart De Schutter; Anders Rantzer (CoRR, 2013)

Diagonal scaling in Douglas-Rachford splitting and ADMM. - Pontus Giselsson; Stephen P. Boyd (CDC, 2014)

Preconditioning in fast dual gradient methods. - Pontus Giselsson; Stephen P. Boyd (CDC, 2014)

Monotonicity and restart in fast gradient methods. - Pontus Giselsson; Stephen P. Boyd (CDC, 2014)

On Feasibility, Stability and Performance in Distributed Model Predictive Control. - Pontus Giselsson; Anders Rantzer (IEEE Trans. Autom. Control., 2014)

Tight linear convergence rate bounds for Douglas-Rachford splitting and ADMM. - Pontus Giselsson (CDC, 2015)

Metric selection in fast dual forward-backward splitting. - Pontus Giselsson; Stephen P. Boyd (Autom., 2015)

Line search for averaged operator iteration. - Pontus Giselsson; Mattias Fält; Stephen P. Boyd (CDC, 2016)

Line search for generalized alternating projections. - Mattias Fält; Pontus Giselsson (ACC, 2017)

Optimal convergence rates for generalized alternating projections. - Mattias Fält; Pontus Giselsson (CDC, 2017)

Local convergence of proximal splitting methods for rank constrained problems. - Christian Grussler; Pontus Giselsson (CDC, 2017)

Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM. - Pontus Giselsson; Stephen P. Boyd (IEEE Trans. Autom. Control., 2017)

Envelope Functions: Unifications and Further Properties. - Pontus Giselsson; Mattias Fält (J. Optim. Theory Appl., 2018)

Low-Rank Inducing Norms with Optimality Interpretations. - Christian Grussler; Pontus Giselsson (SIAM J. Optim., 2018)

Low-Rank Optimization With Convex Constraints. - Christian Grussler; Anders Rantzer; Pontus Giselsson (IEEE Trans. Autom. Control., 2018)

QPDAS: Dual Active Set Solver for Mixed Constraint Quadratic Programming. - Mattias Fält; Pontus Giselsson (CDC, 2019)

Towards real-time ADMM for linear MPC. - Moritz Schulze Darup; Gerrit Book; Pontus Giselsson (ECC, 2019)

Optimality Interpretations for Atomic Norms. - Christian Grussler; Pontus Giselsson (ECC, 2019)

Two Applications of Deep Learning in the Physical Layer of Communication Systems. - Emil Björnson; Pontus Giselsson (CoRR, 2020)

Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection. - Ernest K. Ryu; Adrien B. Taylor; Carolina Bergeling; Pontus Giselsson (SIAM J. Optim., 2020)

Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]. - Emil Björnson; Pontus Giselsson (IEEE Signal Process. Mag., 2020)

Efficient Downlink Power Allocation Algorithms for Cell-Free Massive MIMO Systems. - Sucharita Chakraborty; Özlem Tugfe Demir; Emil Björnson; Pontus Giselsson (IEEE Open J. Commun. Soc., 2021)

Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems. - Cenk M. Yetis; Emil Björnson; Pontus Giselsson (IEEE Open J. Commun. Soc., 2021)

Nonlinear Forward-Backward Splitting with Projection Correction. - Pontus Giselsson (SIAM J. Optim., 2021)

Efficient Proximal Mapping Computation for Low-Rank Inducing Norms. - Christian Grussler; Pontus Giselsson (J. Optim. Theory Appl., 2022)

Cocoercivity, smoothness and bias in variance-reduced stochastic gradient methods. - Martin Morin; Pontus Giselsson (Numer. Algorithms, 2022)

Circuit analysis using monotone+skew splitting. - Thomas Chaffey 001; Sebastian Banert; Pontus Giselsson; Richard Pates (Eur. J. Control, 2023)

Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence. - Martin Morin; Sebastian Banert; Pontus Giselsson (SIAM J. Optim., 2024)

Incorporating history and deviations in forward-backward splitting. - Hamed Sadeghi; Sebastian Banert; Pontus Giselsson (Numer. Algorithms, 2024)

Automated tight Lyapunov analysis for first-order methods. - Manu Upadhyaya; Sebastian Banert; Adrien B. Taylor; Pontus Giselsson (Math. Program., 2025)

Sampling and Update Frequencies in Proximal Variance-Reduced Stochastic Gradient Methods. - Martin Morin; Pontus Giselsson (J. Optim. Theory Appl., 2025)