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2020 – today
- 2024
[j44]Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
Control of cross-directional systems with approximate symmetries. Autom. 167: 111782 (2024)- [i30]Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, Paul J. Goulart:
A neural network-based approach to hybrid systems identification for control. CoRR abs/2404.01814 (2024) - 2023
- [j43]Yuwen Chen
, Catherine Ning, Paul Goulart:
A Unified Early Termination Technique for Primal-Dual Algorithms in Mixed Integer Conic Programming. IEEE Control. Syst. Lett. 7: 2803-2808 (2023) - [j42]Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
A Higher-Order Generalized Singular Value Decomposition for Rank-Deficient Matrices. SIAM J. Matrix Anal. Appl. 44(3): 1047-1072 (2023) - [j41]Filippo Fabiani, Paul J. Goulart:
Reliably-Stabilizing Piecewise-Affine Neural Network Controllers. IEEE Trans. Autom. Control. 68(9): 5201-5215 (2023) - [j40]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems. IEEE Trans. Autom. Control. 68(12): 7724-7739 (2023) - [c51]Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart:
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models. UAI 2023: 1752-1761 - [i29]Idris Kempf, Paul Goulart, Stephen Duncan:
Control of Cross-Directional Systems with Approximate Symmetries. CoRR abs/2306.17565 (2023) - [i28]Idris Kempf, Paul J. Goulart, Stephen Duncan:
Control of Cross-Directional Systems using the Generalised Singular Value Decomposition. CoRR abs/2308.08631 (2023) - 2022
- [j39]Denis Lebedev, Paul Goulart, Kostas Margellos:
Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees. Autom. 135: 109897 (2022) - [j38]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities. Autom. 137: 110120 (2022) - [j37]Shuhao Yan, Mark Cannon, Paul J. Goulart:
Stochastic output feedback MPC with intermittent observations. Autom. 141: 110282 (2022) - [j36]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic Stabilizability Certificates for a Class of Black-Box Linear Systems. IEEE Control. Syst. Lett. 6: 584-589 (2022) - [j35]Nikitas Rontsis, Paul Goulart, Yuji Nakatsukasa:
Efficient Semidefinite Programming with Approximate ADMM. J. Optim. Theory Appl. 192(1): 292-320 (2022) - [j34]Nikitas Rontsis, Paul J. Goulart, Yuji Nakatsukasa:
An active-set algorithm for norm constrained quadratic problems. Math. Program. 193(1): 447-483 (2022) - [j33]Shuhao Yan, Paul J. Goulart, Mark Cannon:
Stochastic MPC With Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints. IEEE Trans. Autom. Control. 67(11): 5885-5899 (2022) - [j32]Denis Lebedev, Kostas Margellos, Paul Goulart:
Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing. IEEE Trans. Control. Syst. Technol. 30(2): 893-900 (2022) - [c50]Yuwen Chen, Paul Goulart:
An Early Termination Technique for ADMM in Mixed Integer Conic Programming. ECC 2022: 60-65 - [c49]Yuwen Chen, Paul Goulart:
Burer-Monteiro ADMM for Large-scale Diagonally Constrained SDPs. ECC 2022: 66-71 - [c48]Michael Garstka, Mark Cannon, Paul Goulart:
Safeguarded Anderson acceleration for parametric nonexpansive operators. ECC 2022: 435-440 - [c47]Idris Kempf, Paul J. Goulart, Stephen R. Duncan, Michael Abbott:
Model Predictive Control for Electron Beam Stabilization in a Synchrotron. ECC 2022: 814-819 - [c46]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Learning equilibria with personalized incentives in a class of nonmonotone games. ECC 2022: 2179-2184 - [i27]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Personalized incentives as feedback design in generalized Nash equilibrium problems. CoRR abs/2203.12948 (2022) - [i26]Filippo Fabiani, Paul J. Goulart:
Neural network controllers for uncertain linear systems. CoRR abs/2204.13209 (2022) - [i25]Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart:
Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems. CoRR abs/2211.11103 (2022) - 2021
- [j31]Denis Lebedev, Paul Goulart, Kostas Margellos:
A dynamic programming framework for optimal delivery time slot pricing. Eur. J. Oper. Res. 292(2): 456-468 (2021) - [j30]Michael Garstka, Mark Cannon, Paul Goulart:
COSMO: A Conic Operator Splitting Method for Convex Conic Problems. J. Optim. Theory Appl. 190(3): 779-810 (2021) - [c45]Filippo Fabiani, Paul J. Goulart:
The optimal transport paradigm enables data compression in data-driven robust control. ACC 2021: 2412-2417 - [c44]Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart:
Learning ODE Models with Qualitative Structure Using Gaussian Processes. CDC 2021: 2896 - [i24]Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
A Higher-Order Generalized Singular Value Decomposition for Rank Deficient Matrices. CoRR abs/2102.09822 (2021) - [i23]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic stabilizability certificates for a class of black-box linear systems. CoRR abs/2103.02905 (2021) - [i22]Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
Model Predictive Control for Electron Beam Stabilization in a Synchrotron. CoRR abs/2107.01694 (2021) - [i21]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Learning equilibria with personalized incentives in a class of nonmonotone games. CoRR abs/2111.03854 (2021) - [i20]Filippo Fabiani, Paul J. Goulart:
Reliably-stabilizing piecewise-affine neural network controllers. CoRR abs/2111.07183 (2021) - 2020
- [j29]Nikitas Rontsis, Michael A. Osborne, Paul J. Goulart:
Distributionally Ambiguous Optimization for Batch Bayesian Optimization. J. Mach. Learn. Res. 21: 149:1-149:26 (2020) - [j28]Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn:
Chordal decomposition in operator-splitting methods for sparse semidefinite programs. Math. Program. 180(1): 489-532 (2020) - [j27]Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. 12(4): 637-672 (2020) - [c43]Nikitas Rontsis, Paul Goulart:
Optimal Approximation of Doubly Stochastic Matrices. AISTATS 2020: 3589-3598 - [c42]Idris Kempf, Stephen R. Duncan, Paul J. Goulart, Guenther Rehm:
Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition. CDC 2020: 3431-3436 - [c41]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
On the robustness of equilibria in generalized aggregative games. CDC 2020: 3725-3730 - [i19]Idris Kempf, Paul Goulart, Stephen Duncan:
Fast Gradient Method for Model Predictive Control with Input Rate and Amplitude Constraints. CoRR abs/2003.05667 (2020) - [i18]Filippo Fabiani, Paul J. Goulart:
An optimal transport approach to data compression in distributionally robust control. CoRR abs/2005.09393 (2020) - [i17]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
On the robustness of equilibria in generalized aggregative games. CoRR abs/2005.09408 (2020) - [i16]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities. CoRR abs/2005.09420 (2020) - [i15]Shuhao Yan, Paul Goulart, Mark Cannon:
Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints. CoRR abs/2007.07134 (2020) - [i14]Idris Kempf, Stephen R. Duncan, Paul J. Goulart, Guenther Rehm:
Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition. CoRR abs/2009.00345 (2020) - [i13]Shuhao Yan, Mark Cannon, Paul Goulart:
Stochastic output feedback MPC with intermittent observations. CoRR abs/2009.11071 (2020) - [i12]Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum:
Learning ODE Models with Qualitative Structure Using Gaussian Processes. CoRR abs/2011.05364 (2020)
2010 – 2019
- 2019
- [j26]Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd:
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. J. Optim. Theory Appl. 183(2): 490-519 (2019) - [j25]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Distributionally robust expectation inequalities for structured distributions. Math. Program. 173(1-2): 251-280 (2019) - [c40]Goran Banjac, Felix Rey, Paul Goulart, John Lygeros:
Decentralized Resource Allocation via Dual Consensus ADMM. ACC 2019: 2789-2794 - [c39]Idris Kempf, Paul J. Goulart, Stephen Duncan:
Alternating Direction of Multipliers Method for Block Circulant Model Predictive Control. CDC 2019: 4311-4316 - [c38]Denis Lebedev, Paul Goulart, Kostas Margellos:
A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery. ECC 2019: 999-1004 - [c37]Michael Garstka, Mark Cannon, Paul Goulart:
COSMO: A conic operator splitting method for large convex problems. ECC 2019: 1951-1956 - [i11]Idris Kempf, Paul J. Goulart, Stephen Duncan:
ADMM for Block Circulant Model Predictive Control. CoRR abs/1904.04115 (2019) - [i10]Paul J. Goulart, Yuji Nakatsukasa, Nikitas Rontsis:
Accuracy of approximate projection to the semidefinite cone. CoRR abs/1908.01606 (2019) - [i9]Nikitas Rontsis, Paul J. Goulart:
Optimal Approximation of Doubly Stochastic Matrices. CoRR abs/1910.05295 (2019) - 2018
- [j24]Goran Banjac, Kostas Margellos, Paul J. Goulart:
On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 63(4): 1113-1119 (2018) - [j23]Goran Banjac, Paul J. Goulart:
Tight Global Linear Convergence Rate Bounds for Operator Splitting Methods. IEEE Trans. Autom. Control. 63(12): 4126-4139 (2018) - [c36]Shuhao Yan, Paul Goulart, Mark Cannon:
Stochastic Model Predictive Control with Discounted Probabilistic Constraints. ECC 2018: 1003-1008 - [c35]Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd:
Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver. ECC 2018: 1536-1541 - [i8]Shuhao Yan, Paul Goulart, Mark Cannon:
Stochastic Model Predictive Control with Discounted Probabilistic Constraints. CoRR abs/1807.07465 (2018) - 2017
- [j22]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros:
Robust optimal control with adjustable uncertainty sets. Autom. 75: 249-259 (2017) - [j21]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Strong Stationarity Conditions for Optimal Control of Hybrid Systems. IEEE Trans. Autom. Control. 62(9): 4512-4526 (2017) - [j20]Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart:
Second-Order Switching Time Optimization for Switched Dynamical Systems. IEEE Trans. Autom. Control. 62(10): 5407-5414 (2017) - [j19]Giovanni Fantuzzi, Andrew Wynn, Paul J. Goulart, Antonis Papachristodoulou:
Optimization With Affine Homogeneous Quadratic Integral Inequality Constraints. IEEE Trans. Autom. Control. 62(12): 6221-6236 (2017) - [c34]Marius Schmitt, Chithrupa Ramesh, Paul J. Goulart, John Lygeros:
Convex, monotone systems are optimally operated at steady-state. ACC 2017: 2662-2667 - [c33]Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn:
Fast ADMM for semidefinite programs with chordal sparsity. ACC 2017: 3335-3340 - [c32]Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
Embedded code generation using the OSQP solver. CDC 2017: 1906-1911 - 2016
- [j18]Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari:
A decomposition method for large scale MILPs, with performance guarantees and a power system application. Autom. 67: 144-156 (2016) - [j17]Robin Vujanic, Paul Goulart, Manfred Morari:
Robust Optimization of Schedules Affected by Uncertain Events. J. Optim. Theory Appl. 171(3): 1033-1054 (2016) - [j16]Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn:
Generalized Gauss inequalities via semidefinite programming. Math. Program. 156(1-2): 271-302 (2016) - [j15]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros:
A Scenario Approach for Non-Convex Control Design. IEEE Trans. Autom. Control. 61(2): 334-345 (2016) - [j14]Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari:
Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. 61(2): 430-442 (2016) - [c31]Goran Banjac, Paul J. Goulart:
Global linear convergence in operator splitting methods. CDC 2016: 233-238 - [c30]Bartolomeo Stellato, Paul J. Goulart:
Real-time FPGA implementation of direct MPC for power electronics. CDC 2016: 1471-1476 - [c29]Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart:
Optimal control of switching times in switched linear systems. CDC 2016: 7228-7233 - [c28]Bartolomeo Stellato, Paul J. Goulart:
High-speed direct model predictive control for power electronics. ECC 2016: 129-134 - 2015
- [j13]Georg Schildbach, Paul J. Goulart, Manfred Morari:
Linear controller design for chance constrained systems. Autom. 51: 278-284 (2015) - [j12]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul J. Goulart, John Lygeros:
On the sample size of random convex programs with structured dependence on the uncertainty. Autom. 60: 182-188 (2015) - [j11]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Inverse Parametric Optimization With an Application to Hybrid System Control. IEEE Trans. Autom. Control. 60(4): 1064-1069 (2015) - [c27]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
A necessary optimality condition for constrained optimal control of hybrid systems. CDC 2015: 5272-5277 - [c26]Marius Schmitt, Paul J. Goulart, Angelos Georghiou, John Lygeros:
Flow-maximizing equilibria of the Cell Transmission Model. ECC 2015: 2634-2639 - [i7]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros:
On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR abs/1502.00803 (2015) - [i6]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Continuous Optimality Conditions for Constrained Optimal Control of Hybrid Systems. CoRR abs/1507.02878 (2015) - 2014
- [j10]Kostas Margellos, Paul Goulart, John Lygeros:
On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems. IEEE Trans. Autom. Control. 59(8): 2258-2263 (2014) - [j9]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Online Optimization for Model Predictive Control at Megahertz Rates. IEEE Trans. Autom. Control. 59(12): 3238-3251 (2014) - [j8]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:
Scalable Proactive Event-Driven Decision Making. IEEE Technol. Soc. Mag. 33(3): 35-41 (2014) - [c25]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC 2014: 3431-3436 - [c24]Joseph Warrington, Christian Hohl, Paul J. Goulart, Manfred Morari:
Optimal unit commitment accounting for robust affine reserve policies. ACC 2014: 5049-5055 - [c23]Andreas B. Hempel, Paul J. Goulart:
A novel method for modelling cardinality and rank constraints. CDC 2014: 4322-4327 - [c22]Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Manfred Morari:
Electric Vehicles aggregator optimization: a fast and solver-free solution method. CDC 2014: 5027-5032 - [c21]Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros:
Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC 2014: 6419-6424 - [c20]Daniel Bohl, Nikolaos Kariotoglou, Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Model-based current limiting for traction control of an electric four-wheel drive race car. ECC 2014: 1981-1986 - [c19]Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Manfred Morari:
Large scale mixed-integer optimization: A solution method with supply chain applications. MED 2014: 804-809 - [i5]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach for non-convex control design. CoRR abs/1401.2200 (2014) - [i4]Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari:
A Decomposition Method for Large Scale MILPs, with Performance Guarantees and a Power System Application. CoRR abs/1411.1973 (2014) - 2013
- [j7]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Infinite Horizon Performance Bounds for Uncertain Constrained Systems. IEEE Trans. Autom. Control. 58(11): 2803-2817 (2013) - [c18]Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC 2013: 7740-7745 - [c17]Tyler H. Summers, Paul J. Goulart:
Performance bounds for constrained linear min-max control. ECC 2013: 185-190 - [c16]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari:
Adaptive model predictive control for constrained linear systems. ECC 2013: 382-387 - [c15]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Every continuous piecewise affine function can be obtained by solving a parametric linear program. ECC 2013: 2657-2662 - [c14]Georg Schildbach, Paul Goulart, Manfred Morari:
The Linear Quadratic Regulator with chance constraints. ECC 2013: 2746-2751 - [c13]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Predictive Control on an FPGA using the Fast Gradient Method. ECC 2013: 3614-3620 - [i3]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Online Optimization for Model Predictive Control at Megahertz Rates. CoRR abs/1303.1090 (2013) - [i2]Tyler H. Summers, Paul J. Goulart:
Performance Bounds for Constrained Linear Min-Max Control. CoRR abs/1307.2087 (2013) - 2012
- [c12]Joseph Warrington, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari:
A market mechanism for solving multi-period optimal power flow exactly on AC networks with mixed participants. ACC 2012: 3101-3107 - [c11]Robin Vujanic, Sébastien Mariéthoz, Paul J. Goulart, Manfred Morari:
Robust integer optimization and scheduling problems for large electricity consumers. ACC 2012: 3108-3113 - [c10]Joseph Warrington, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari:
Robust reserve operation in power systems using affine policies. CDC 2012: 1111-1117 - [c9]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Infinite-horizon performance bounds for constrained stochastic systems. CDC 2012: 2171-2176 - [c8]Paul J. Goulart, Andrew Wynn, David Pearson:
Optimal mode decomposition for high dimensional systems. CDC 2012: 4965-4970 - 2011
- [j6]Michael J. Hadjiyiannis, Paul J. Goulart, Daniel Kuhn:
An Efficient Method to Estimate the Suboptimality of Affine Controllers. IEEE Trans. Autom. Control. 56(12): 2841-2853 (2011) - [c7]Michael J. Hadjiyiannis, Paul J. Goulart, Daniel Kuhn:
A scenario approach for estimating the suboptimality of linear decision rules in two-stage robust optimization. CDC/ECC 2011: 7386-7391 - [c6]Andrew Wynn, Paul J. Goulart:
Observer design for systems with an energy preserving nonlinearity, with application to fluid flow. CDC/ECC 2011: 7524-7529 - [i1]Paul Goulart, Sergei I. Chernyshenko:
Global Stability Analysis of Fluid Flows using Sum-of-Squares. CoRR abs/1101.1043 (2011) - 2010
- [c5]Paul J. Goulart, Sergei I. Chernyshenko:
Stability analysis of fluid flows using sum-of-squares. ACC 2010: 2971-2976
2000 – 2009
- 2009
- [j5]Paul J. Goulart, Eric C. Kerrigan, Teodoro Alamo:
Control of Constrained Discrete-Time Systems With Bounded 2 Gain. IEEE Trans. Autom. Control. 54(5): 1105-1111 (2009) - [c4]Elilini Siva, Paul Goulart, Jan M. Maciejowski, Nikolas Kantas:
Stability of model predictive control using Markov Chain Monte Carlo optimisation. ECC 2009: 2851-2856 - 2008
- [j4]Paul J. Goulart, Eric C. Kerrigan:
Input-to-state stability of robust receding horizon control with an expected value cost. Autom. 44(4): 1171-1174 (2008) - [j3]Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph:
Efficient robust optimization for robust control with constraints. Math. Program. 114(1): 115-147 (2008) - 2007
- [j2]Paul J. Goulart, Eric C. Kerrigan:
Output feedback receding horizon control of constrained systems. Int. J. Control 80(1): 8-20 (2007) - 2006
- [j1]Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejowski:
Optimization over state feedback policies for robust control with constraints. Autom. 42(4): 523-533 (2006) - [c3]Paul J. Goulart, Eric C. Kerrigan:
A convex formulation for receding horizon control of constrained discrete-time systems with guaranteed l2 gain. CDC 2006: 5447-5452 - [c2]Paul J. Goulart, Eric C. Kerrigan:
A Method for Robust Receding Horizon Output Feedback Control of Constrained Systems. CDC 2006: 5471-5476 - 2005
- [c1]Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejowski:
State Feedback Policies for Robust Receding Horizon Control: Uniqueness, Continuity, and Stability. CDC/ECC 2005: 3753-3758
Coauthor Index
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