Paul J. Goulart

According to our database, Paul J. Goulart authored at least 107 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A neural network-based approach to hybrid systems identification for control.

Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, Paul J. Goulart

CoRR, 2024

Control of cross-directional systems with approximate symmetries.

Idris Kempf, Paul J. Goulart, Stephen R. Duncan

Autom., 2024

2023

Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems.

Filippo Fabiani, Andrea Simonetto, Paul J. Goulart

IEEE Trans. Autom. Control., December, 2023

Reliably-Stabilizing Piecewise-Affine Neural Network Controllers.

Filippo Fabiani, Paul J. Goulart

IEEE Trans. Autom. Control., September, 2023

A Higher-Order Generalized Singular Value Decomposition for Rank-Deficient Matrices.

Idris Kempf, Paul J. Goulart, Stephen R. Duncan

SIAM J. Matrix Anal. Appl., September, 2023

A Unified Early Termination Technique for Primal-Dual Algorithms in Mixed Integer Conic Programming.

Yuwen Chen, Catherine Ning, Paul Goulart

IEEE Control. Syst. Lett., 2023

Control of Cross-Directional Systems using the Generalised Singular Value Decomposition.

Idris Kempf, Paul J. Goulart, Stephen Duncan

CoRR, 2023

The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models.

Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing.

Denis Lebedev, Kostas Margellos, Paul Goulart

IEEE Trans. Control. Syst. Technol., 2022

Stochastic MPC With Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints.

Shuhao Yan, Paul J. Goulart, Mark Cannon

IEEE Trans. Autom. Control., 2022

An active-set algorithm for norm constrained quadratic problems.

Nikitas Rontsis, Paul J. Goulart, Yuji Nakatsukasa

Math. Program., 2022

Efficient Semidefinite Programming with Approximate ADMM.

Nikitas Rontsis, Paul Goulart, Yuji Nakatsukasa

J. Optim. Theory Appl., 2022

Probabilistic Stabilizability Certificates for a Class of Black-Box Linear Systems.

Filippo Fabiani, Kostas Margellos, Paul J. Goulart

IEEE Control. Syst. Lett., 2022

Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems.

Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart

CoRR, 2022

Neural network controllers for uncertain linear systems.

Filippo Fabiani, Paul J. Goulart

CoRR, 2022

Stochastic output feedback MPC with intermittent observations.

Shuhao Yan, Mark Cannon, Paul J. Goulart

Autom., 2022

Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees.

Denis Lebedev, Paul Goulart, Kostas Margellos

Autom., 2022

Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities.

Filippo Fabiani, Kostas Margellos, Paul J. Goulart

Autom., 2022

Model Predictive Control for Electron Beam Stabilization in a Synchrotron.

Idris Kempf, Paul J. Goulart, Stephen R. Duncan, Michael Abbott

Proceedings of the European Control Conference, 2022

Safeguarded Anderson acceleration for parametric nonexpansive operators.

Michael Garstka, Mark Cannon, Paul Goulart

Proceedings of the European Control Conference, 2022

Learning equilibria with personalized incentives in a class of nonmonotone games.

Filippo Fabiani, Andrea Simonetto, Paul J. Goulart

Proceedings of the European Control Conference, 2022

Burer-Monteiro ADMM for Large-scale Diagonally Constrained SDPs.

Yuwen Chen, Paul Goulart

Proceedings of the European Control Conference, 2022

An Early Termination Technique for ADMM in Mixed Integer Conic Programming.

Yuwen Chen, Paul Goulart

Proceedings of the European Control Conference, 2022

2021

COSMO: A Conic Operator Splitting Method for Convex Conic Problems.

Michael Garstka, Mark Cannon, Paul Goulart

J. Optim. Theory Appl., 2021

A dynamic programming framework for optimal delivery time slot pricing.

Denis Lebedev, Paul Goulart, Kostas Margellos

Eur. J. Oper. Res., 2021

Model Predictive Control for Electron Beam Stabilization in a Synchrotron.

Idris Kempf, Paul J. Goulart, Stephen R. Duncan

CoRR, 2021

Learning ODE Models with Qualitative Structure Using Gaussian Processes.

Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

The optimal transport paradigm enables data compression in data-driven robust control.

Filippo Fabiani, Paul J. Goulart

Proceedings of the 2021 American Control Conference, 2021

2020

OSQP: an operator splitting solver for quadratic programs.

Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd

Math. Program. Comput., 2020

Chordal decomposition in operator-splitting methods for sparse semidefinite programs.

Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn

Math. Program., 2020

Distributionally Ambiguous Optimization for Batch Bayesian Optimization.

Nikitas Rontsis, Michael A. Osborne, Paul J. Goulart

J. Mach. Learn. Res., 2020

Learning ODE Models with Qualitative Structure Using Gaussian Processes.

Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum

CoRR, 2020

An optimal transport approach to data compression in distributionally robust control.

Filippo Fabiani, Paul J. Goulart

CoRR, 2020

Fast Gradient Method for Model Predictive Control with Input Rate and Amplitude Constraints.

Idris Kempf, Paul Goulart, Stephen Duncan

CoRR, 2020

Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition.

Idris Kempf, Stephen R. Duncan, Paul J. Goulart, Guenther Rehm

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

On the robustness of equilibria in generalized aggregative games.

Filippo Fabiani, Kostas Margellos, Paul J. Goulart

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Optimal Approximation of Doubly Stochastic Matrices.

Nikitas Rontsis, Paul Goulart

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Distributionally robust expectation inequalities for structured distributions.

Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari

Math. Program., 2019

Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization.

Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd

J. Optim. Theory Appl., 2019

Accuracy of approximate projection to the semidefinite cone.

Paul J. Goulart, Yuji Nakatsukasa, Nikitas Rontsis

CoRR, 2019

ADMM for Block Circulant Model Predictive Control.

Idris Kempf, Paul J. Goulart, Stephen Duncan

CoRR, 2019

A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery.

Denis Lebedev, Paul Goulart, Kostas Margellos

Proceedings of the 17th European Control Conference, 2019

COSMO: A conic operator splitting method for large convex problems.

Michael Garstka, Mark Cannon, Paul Goulart

Proceedings of the 17th European Control Conference, 2019

Alternating Direction of Multipliers Method for Block Circulant Model Predictive Control.

Idris Kempf, Paul J. Goulart, Stephen Duncan

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Decentralized Resource Allocation via Dual Consensus ADMM.

Goran Banjac, Felix Rey, Paul Goulart, John Lygeros

Proceedings of the 2019 American Control Conference, 2019

2018

On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization.

Goran Banjac, Kostas Margellos, Paul J. Goulart

IEEE Trans. Autom. Control., 2018

Tight Global Linear Convergence Rate Bounds for Operator Splitting Methods.

Goran Banjac, Paul J. Goulart

IEEE Trans. Autom. Control., 2018

Stochastic Model Predictive Control with Discounted Probabilistic Constraints.

Shuhao Yan, Paul Goulart, Mark Cannon

Proceedings of the 16th European Control Conference, 2018

Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver.

Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd

Proceedings of the 16th European Control Conference, 2018

2017

Second-Order Switching Time Optimization for Switched Dynamical Systems.

Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart

IEEE Trans. Autom. Control., 2017

Strong Stationarity Conditions for Optimal Control of Hybrid Systems.

Andreas B. Hempel, Paul J. Goulart, John Lygeros

IEEE Trans. Autom. Control., 2017

Optimization With Affine Homogeneous Quadratic Integral Inequality Constraints.

Giovanni Fantuzzi, Andrew Wynn, Paul J. Goulart, Antonis Papachristodoulou

IEEE Trans. Autom. Control., 2017

Robust optimal control with adjustable uncertainty sets.

Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros

Autom., 2017

Embedded code generation using the OSQP solver.

Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Fast ADMM for semidefinite programs with chordal sparsity.

Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn

Proceedings of the 2017 American Control Conference, 2017

Convex, monotone systems are optimally operated at steady-state.

Marius Schmitt, Chithrupa Ramesh, Paul J. Goulart, John Lygeros

Proceedings of the 2017 American Control Conference, 2017

2016

Distributionally Robust Control of Constrained Stochastic Systems.

Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari

IEEE Trans. Autom. Control., 2016

A Scenario Approach for Non-Convex Control Design.

Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros

IEEE Trans. Autom. Control., 2016

Generalized Gauss inequalities via semidefinite programming.

Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn

Math. Program., 2016

Robust Optimization of Schedules Affected by Uncertain Events.

Robin Vujanic, Paul Goulart, Manfred Morari

J. Optim. Theory Appl., 2016

A decomposition method for large scale MILPs, with performance guarantees and a power system application.

Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari

Autom., 2016

High-speed direct model predictive control for power electronics.

Bartolomeo Stellato, Paul J. Goulart

Proceedings of the 15th European Control Conference, 2016

Optimal control of switching times in switched linear systems.

Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Real-time FPGA implementation of direct MPC for power electronics.

Bartolomeo Stellato, Paul J. Goulart

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Global linear convergence in operator splitting methods.

Goran Banjac, Paul J. Goulart

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Inverse Parametric Optimization With an Application to Hybrid System Control.

Andreas B. Hempel, Paul J. Goulart, John Lygeros

IEEE Trans. Autom. Control., 2015

Continuous Optimality Conditions for Constrained Optimal Control of Hybrid Systems.

Andreas B. Hempel, Paul J. Goulart, John Lygeros

CoRR, 2015

On the sample size of random convex programs with structured dependence on the uncertainty.

Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul J. Goulart, John Lygeros

Autom., 2015

Linear controller design for chance constrained systems.

Georg Schildbach, Paul J. Goulart, Manfred Morari

Autom., 2015

Flow-maximizing equilibria of the Cell Transmission Model.

Marius Schmitt, Paul J. Goulart, Angelos Georghiou, John Lygeros

Proceedings of the 14th European Control Conference, 2015

A necessary optimality condition for constrained optimal control of hybrid systems.

Andreas B. Hempel, Paul J. Goulart, John Lygeros

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Scalable Proactive Event-Driven Decision Making.

Alexander Artikis, Chris Baber, Pedro Bizarro, Carlos Canudas-de-Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, Izchak Sharfman

IEEE Technol. Soc. Mag., 2014

On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems.

Kostas Margellos, Paul Goulart, John Lygeros

IEEE Trans. Autom. Control., 2014

Embedded Online Optimization for Model Predictive Control at Megahertz Rates.

Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari

IEEE Trans. Autom. Control., 2014

Large scale mixed-integer optimization: A solution method with supply chain applications.

Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Manfred Morari

Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Model-based current limiting for traction control of an electric four-wheel drive race car.

Daniel Bohl, Nikolaos Kariotoglou, Andreas B. Hempel, Paul J. Goulart, John Lygeros

Proceedings of the 13th European Control Conference, 2014

Selling robustness margins: A framework for optimizing reserve capacities for linear systems.

Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Electric Vehicles aggregator optimization: a fast and solver-free solution method.

Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Manfred Morari

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A novel method for modelling cardinality and rank constraints.

Andreas B. Hempel, Paul J. Goulart

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimal unit commitment accounting for robust affine reserve policies.

Joseph Warrington, Christian Hohl, Paul J. Goulart, Manfred Morari

Proceedings of the American Control Conference, 2014

A scenario approach to non-convex control design: Preliminary probabilistic guarantees.

Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros

Proceedings of the American Control Conference, 2014

2013

Infinite Horizon Performance Bounds for Uncertain Constrained Systems.

Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari

IEEE Trans. Autom. Control., 2013

Adaptive model predictive control for constrained linear systems.

Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari

Proceedings of the 12th European Control Conference, 2013

Performance bounds for constrained linear min-max control.

Tyler H. Summers, Paul J. Goulart

Proceedings of the 12th European Control Conference, 2013

The Linear Quadratic Regulator with chance constraints.

Georg Schildbach, Paul Goulart, Manfred Morari

Proceedings of the 12th European Control Conference, 2013

Embedded Predictive Control on an FPGA using the Fast Gradient Method.

Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari

Proceedings of the 12th European Control Conference, 2013

Every continuous piecewise affine function can be obtained by solving a parametric linear program.

Andreas B. Hempel, Paul J. Goulart, John Lygeros

Proceedings of the 12th European Control Conference, 2013

Stochastic Model Predictive Control using a combination of randomized and robust optimization.

Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Robust reserve operation in power systems using affine policies.

Joseph Warrington, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Infinite-horizon performance bounds for constrained stochastic systems.

Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Optimal mode decomposition for high dimensional systems.

Paul J. Goulart, Andrew Wynn, David Pearson

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A market mechanism for solving multi-period optimal power flow exactly on AC networks with mixed participants.

Joseph Warrington, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari

Proceedings of the American Control Conference, 2012

Robust integer optimization and scheduling problems for large electricity consumers.

Robin Vujanic, Sébastien Mariéthoz, Paul J. Goulart, Manfred Morari

Proceedings of the American Control Conference, 2012

2011

An Efficient Method to Estimate the Suboptimality of Affine Controllers.

Michael J. Hadjiyiannis, Paul J. Goulart, Daniel Kuhn

IEEE Trans. Autom. Control., 2011

Global Stability Analysis of Fluid Flows using Sum-of-Squares

Paul Goulart, Sergei I. Chernyshenko

CoRR, 2011

Observer design for systems with an energy preserving nonlinearity, with application to fluid flow.

Andrew Wynn, Paul J. Goulart

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A scenario approach for estimating the suboptimality of linear decision rules in two-stage robust optimization.

Michael J. Hadjiyiannis, Paul J. Goulart, Daniel Kuhn

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Stability analysis of fluid flows using sum-of-squares.

Paul J. Goulart, Sergei I. Chernyshenko

Proceedings of the American Control Conference, 2010

2009

Control of Constrained Discrete-Time Systems With Bounded ₂ Gain.

Paul J. Goulart, Eric C. Kerrigan, Teodoro Alamo

IEEE Trans. Autom. Control., 2009

Stability of model predictive control using Markov Chain Monte Carlo optimisation.

Elilini Siva, Paul Goulart, Jan M. Maciejowski, Nikolas Kantas

Proceedings of the 10th European Control Conference, 2009

2008

Efficient robust optimization for robust control with constraints.

Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph

Math. Program., 2008

Input-to-state stability of robust receding horizon control with an expected value cost.

Paul J. Goulart, Eric C. Kerrigan

Autom., 2008

2007

Output feedback receding horizon control of constrained systems.

Paul J. Goulart, Eric C. Kerrigan

Int. J. Control, 2007

2006

Optimization over state feedback policies for robust control with constraints.

Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejowski

Autom., 2006

A Method for Robust Receding Horizon Output Feedback Control of Constrained Systems.

Paul J. Goulart, Eric C. Kerrigan

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

A convex formulation for receding horizon control of constrained discrete-time systems with guaranteed l2 gain.

Paul J. Goulart, Eric C. Kerrigan

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005

State Feedback Policies for Robust Receding Horizon Control: Uniqueness, Continuity, and Stability.

Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejowski

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005