Colin N. Jones

Orcid: 0000-0001-7239-4799

Affiliations:
  • Ecole Polytechnique Federale de Laussanne, Switzerland


According to our database1, Colin N. Jones authored at least 206 papers between 2006 and 2024.

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Bibliography

2024
Principled Preferential Bayesian Optimization.
CoRR, 2024

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework.
CoRR, 2024

2023
Stability Verification of Neural Network Controllers Using Mixed-Integer Programming.
IEEE Trans. Autom. Control., December, 2023

Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result.
IEEE Trans. Control. Syst. Technol., November, 2023

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.
IEEE Trans. Control. Syst. Technol., September, 2023

Self-triggered Control with Energy Harvesting Sensor Nodes.
ACM Trans. Cyber Phys. Syst., July, 2023

Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach.
IEEE Trans. Autom. Control., May, 2023

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller.
IEEE Trans. Autom. Control., 2023

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters.
IEEE Control. Syst. Lett., 2023

SIMBa: System Identification Methods leveraging Backpropagation.
CoRR, 2023

Risk-aware Scheduling and Dispatch of Flexibility Events in Buildings.
CoRR, 2023

Stable Linear Subspace Identification: A Machine Learning Approach.
CoRR, 2023

Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints.
CoRR, 2023

Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach.
CoRR, 2023

Efficient Recursive Data-enabled Predictive Control: an Application to Consistent Predictors.
CoRR, 2023

Data-Driven Robust Control Using Prediction Error Bounds Based on Perturbation Analysis.
CoRR, 2023

Distributed AC Optimal Power Flow for Generic Integrated Transmission-Distribution Systems.
CoRR, 2023

Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland.
CoRR, 2023

Bayesian Optimization of Expensive Nested Grey-Box Functions.
CoRR, 2023

A comparison of methods to eliminate regularization weight tuning from data-enabled predictive control.
CoRR, 2023

SOStab: a Matlab Toolbox for Approximating Regions of Attraction of Nonlinear Systems.
CoRR, 2023

Comparison of behavioral systems theory and conventional linear models for predicting building zone temperature in long-term in situ measurements.
CoRR, 2023

Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints.
CoRR, 2023

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Constrained Efficient Global Optimization of Expensive Black-box Functions.
Proceedings of the International Conference on Machine Learning, 2023

Relaxed Recentered Log-Barrier Function Based Nonlinear Model Predictive Control.
Proceedings of the European Control Conference, 2023

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

PIQP: A Proximal Interior-Point Quadratic Programming Solver.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Hypergraph- Based Fast Distributed AC Power Flow Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models.
Proceedings of the American Control Conference, 2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
Proceedings of the American Control Conference, 2023

2022
Over-the-Air Federated Learning via Second-Order Optimization.
IEEE Trans. Wirel. Commun., 2022

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning.
IEEE Trans. Signal Process., 2022

Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization.
IEEE Trans. Smart Grid, 2022

Data-Driven Input Reconstruction and Experimental Validation.
IEEE Control. Syst. Lett., 2022

Robust Resource-Aware Self-Triggered Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Resource-Aware Stochastic Self-Triggered Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC.
IEEE Control. Syst. Lett., 2022

Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models.
CoRR, 2022

Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation.
CoRR, 2022

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints.
CoRR, 2022

Physically Consistent Neural ODEs for Learning Multi-Physics Systems.
CoRR, 2022

Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles.
CoRR, 2022

Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization.
CoRR, 2022

An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.
CoRR, 2022

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints.
Proceedings of the American Control Conference, 2022

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving.
Proceedings of the American Control Conference, 2022

2021
A Demand Response-Based Solution to Overloading in Underdeveloped Distribution Networks.
IEEE Trans. Smart Grid, 2021

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications.
IEEE Trans. Autom. Control., 2021

Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use.
CoRR, 2021

Physically Consistent Neural Networks for building thermal modeling: theory and analysis.
CoRR, 2021

Distributed Model Predictive Control of Buildings and Energy Hubs.
CoRR, 2021

Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result.
CoRR, 2021

Koopman based data-driven predictive control.
CoRR, 2021

Distributed Multi-Building Coordination for Demand Response.
CoRR, 2021

Towards global optimal control via Koopman lifts.
Autom., 2021

Reference tracking stochastic model predictive control over unreliable channels and bounded control actions.
Autom., 2021

Deterministic error bounds for kernel-based learning techniques under bounded noise.
Autom., 2021

Joint Energy Management for Distributed Energy Harvesting Systems.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Nonlinear Data-Enabled Prediction and Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Robust Learning Model Predictive Control for Periodically Correlated Building Control.
Proceedings of the 2021 European Control Conference, 2021

Block BFGS Based Distributed Optimization for NMPC Using PolyMPC.
Proceedings of the 2021 European Control Conference, 2021

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses.
IEEE Trans. Smart Grid, 2020

NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates.
IEEE Control. Syst. Lett., 2020

On the Optimality and Convergence Properties of the Learning Model Predictive Controller.
CoRR, 2020

Convergence Certificate for Stochastic Derivative-Free Trust-Region Methods based on Gaussian Processes.
CoRR, 2020

A Unified Framework for Reinforcement Learning.
CoRR, 2020

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
SVR-AMA: An Asynchronous Alternating Minimization Algorithm With Variance Reduction for Model Predictive Control Applications.
IEEE Trans. Autom. Control., 2019

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization.
J. Optim. Theory Appl., 2019

A Resource-Aware Approach to Self-Triggered Model Predictive Control.
CoRR, 2019

A Neural Network Architecture to Learn Explicit MPC Controllers from Data.
CoRR, 2019

Distributed state estimation for discrete-time linear time invariant systems: A survey.
Annu. Rev. Control., 2019

Experimental Verification of Sum-Of-Squares-Based Controller Tuning Technique with Extension to Parallel Multimodel Uncertainty Processing.
Proceedings of the 17th European Control Conference, 2019

Recurrent Neural Network based MPC for Process Industries.
Proceedings of the 17th European Control Conference, 2019

Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Time Splitting Based Real-Time Iteration Scheme for Nonlinear MPC.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Economic Advantages of Office Buildings Providing Ancillary Services With Intraday Participation.
IEEE Trans. Smart Grid, 2018

Experimental Implementation of Frequency Regulation Services Using Commercial Buildings.
IEEE Trans. Smart Grid, 2018

A Generalized Representer Theorem for Hilbert Space - Valued Functions.
CoRR, 2018

An ADMM-based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation.
CoRR, 2018

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method.
Proceedings of the 16th European Control Conference, 2018

Active Directional Modifier Adaptation with Trust Region- Application to Energy-Harvesting Kites.
Proceedings of the 16th European Control Conference, 2018

Real-Time optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes.
Proceedings of the 16th European Control Conference, 2018

Use of Model Predictive Control for Short-Term Operating Reserve Using Commercial Buildings in the United Kingdom Context.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning Proximal Operators with Gaussian Processes.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Solving the Infinite-Horizon Constrained LQR Problem Using Accelerated Dual Proximal Methods.
IEEE Trans. Autom. Control., 2017

Quantization Design for Distributed Optimization.
IEEE Trans. Autom. Control., 2017

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC.
IEEE Trans. Autom. Control., 2017

Robust Tracking Commitment.
IEEE Trans. Autom. Control., 2017

An Input-to-State-Stability Approach to Economic Optimization in Model Predictive Control.
IEEE Trans. Autom. Control., 2017

Convergence rates of moment-sum-of-squares hierarchies for optimal control problems.
Syst. Control. Lett., 2017

An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs, Application to the Optimal Power Flow Problem.
J. Optim. Theory Appl., 2017

Stability and performance verification of optimization-based controllers.
Autom., 2017

On turnpike and dissipativity properties of continuous-time optimal control problems.
Autom., 2017

A design method for distributed luenberger observers.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Control of nonlinear systems with explicit-MPC-like controllers.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On coordinated primal-dual interior-point methods for multi-agent optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Dispatching active distribution networks through electrochemical storage systems and demand side management.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Data-driven demand response modeling and control of buildings with Gaussian Processes.
Proceedings of the 2017 American Control Conference, 2017

Real-time distributed algorithms for nonconvex optimal power flow.
Proceedings of the 2017 American Control Conference, 2017

2016
MPC for Tracking Periodic References.
IEEE Trans. Autom. Control., 2016

A Parametric Nonconvex Decomposition Algorithm for Real-Time and Distributed NMPC.
IEEE Trans. Autom. Control., 2016

Operator Splitting Methods in Control.
Found. Trends Syst. Control., 2016

Controller design and value function approximation for nonlinear dynamical systems.
Autom., 2016

Distributed synthesis and stability of cooperative distributed model predictive control for linear systems.
Autom., 2016

On convergence and performance certification of a continuous-time economic model predictive control scheme with time-varying performance index.
Autom., 2016

Special section on Nonlinear Model Predictive Control.
Annu. Rev. Control., 2016

OpenBuildNet framework for distributed co-simulation of smart energy systems.
Proceedings of the 14th International Conference on Control, 2016

Accelerated ADMM based on accelerated Douglas-Rachford splitting.
Proceedings of the 15th European Control Conference, 2016

A parametric augmented Lagrangian algorithm for real-tim economic NMPC.
Proceedings of the 15th European Control Conference, 2016

Constrained LQR using online decomposition techniques.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Asynchronous splitting design for Model Predictive Control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the design of discrete-time Economic Model Predictive Controllers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Design of a distributed quantized luenberger filter for bounded noise.
Proceedings of the 2016 American Control Conference, 2016

Stochastic MPC for controlling the average constraint violation of periodic linear systems with additive disturbances.
Proceedings of the 2016 American Control Conference, 2016

A nonlinear adaptive controller for airborne wind energy systems.
Proceedings of the 2016 American Control Conference, 2016

2015
Constrained Spectrum Control.
IEEE Trans. Autom. Control., 2015

An optimization-based approach to extract faceted crystal shapes from stereoscopic images.
Comput. Chem. Eng., 2015

Enumeration-based approach to solving parametric linear complementarity problems.
Autom., 2015

An energy efficient trajectory tracking controller for car-like vehicles using Model Predictive Control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Improved path following for kites with input delay compensation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quantization design for distributed optimization with time-varying parameters.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quantization design for unconstrained distributed optimization.
Proceedings of the American Control Conference, 2015

Guaranteeing input tracking for constrained systems: Theory and application to demand response.
Proceedings of the American Control Conference, 2015

A Model predictive control scheme with ultimate bound for economic optimization.
Proceedings of the American Control Conference, 2015

A consensus algorithm for networks with process noise and quantization error.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

OpenBuild : An integrated simulation environment for building control.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
Parametric Polytope Reconstruction, an Application to Crystal Shape Estimation.
IEEE Trans. Image Process., 2014

Stochastic Model Predictive Control for Building Climate Control.
IEEE Trans. Control. Syst. Technol., 2014

Soft Constrained Model Predictive Control With Robust Stability Guarantees.
IEEE Trans. Autom. Control., 2014

Stochastic MPC Framework for Controlling the Average Constraint Violation.
IEEE Trans. Autom. Control., 2014

Convex Computation of the Maximum Controlled Invariant Set For Polynomial Control Systems.
SIAM J. Control. Optim., 2014

On real-time robust model predictive control.
Autom., 2014

Splitting methods in control.
Proceedings of the 13th European Control Conference, 2014

Optimal design of observable multi-agent networks: A structural system approach.
Proceedings of the 13th European Control Conference, 2014

Inexact fast alternating minimization algorithm for distributed model predictive control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A parametric multi-convex splitting technique with application to real-time NMPC.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Turnpike and dissipativity properties in dynamic real-time optimization and economic MPC.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

An economic model predictive control scheme with terminal penalty for continuous-time systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Certification of fixed computation time first-order optimization-based controllers for a class of nonlinear dynamical systems.
Proceedings of the American Control Conference, 2014

An augmented Lagrangian coordination-decomposition algorithm for solving distributed non-convex programs.
Proceedings of the American Control Conference, 2014

Optimization of an Airborne Wind Energy system using constrained Gaussian Processes.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Certification aspects of the fast gradient method for solving the dual of parametric convex programs.
Math. Methods Oper. Res., 2013

Least-restrictive robust periodic model predictive control applied to room temperature regulation.
Autom., 2013

Inner Approximations of the Region of Attraction for Polynomial Dynamical Systems.
Proceedings of the 9th IFAC Symposium on Nonlinear Control Systems, 2013

Multi-Parametric Toolbox 3.0.
Proceedings of the 12th European Control Conference, 2013

Robust distributed model predictive control of linear systems.
Proceedings of the 12th European Control Conference, 2013

Trajectory-tracking and path-following controllers for constrained underactuated vehicles using Model Predictive Control.
Proceedings of the 12th European Control Conference, 2013

Plug and play distributed model predictive control based on distributed invariance and optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Convex computation of the maximum controlled invariant set for discrete-time polynomial control systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Cooperative distributed tracking MPC for constrained linear systems: Theory and synthesis.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A Model Predictive Control scheme with additional performance index for transient behavior.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Online thermal control methods for multiprocessor systems.
ACM Trans. Design Autom. Electr. Syst., 2012

Computational Complexity Certification for Real-Time MPC With Input Constraints Based on the Fast Gradient Method.
IEEE Trans. Autom. Control., 2012

Stochastic model predictive control: Controlling the average number of constraint violations.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Efficient interior point methods for multistage problems arising in receding horizon control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Learning near-optimal decision rules for energy efficient building control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Computational aspects of distributed optimization in model predictive control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Spectrogram-MPC: Enforcing hard constraints on systems' output spectra.
Proceedings of the American Control Conference, 2012

Distributed synthesis and control of constrained linear systems.
Proceedings of the American Control Conference, 2012

2011
Real-Time Suboptimal Model Predictive Control Using a Combination of Explicit MPC and Online Optimization.
IEEE Trans. Autom. Control., 2011

A Multiresolution Approximation Method for Fast Explicit Model Predictive Control.
IEEE Trans. Autom. Control., 2011

MPC of constrained discrete-time linear periodic systems - A framework for asynchronous control: Strong feasibility, stability and optimality via periodic invariance.
Autom., 2011

Input-to-state stabilization of low-complexity model predictive controllers for linear systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Towards computational complexity certification for constrained MPC based on Lagrange Relaxation and the fast gradient method.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Constrained spectrum control using MPC.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Learning a feasible and stabilizing explicit model predictive control law by robust optimization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Alternative parameterisations for predictive control: How and why?
Proceedings of the American Control Conference, 2011

2010
A Cost-Effective Atomic Force Microscope for Undergraduate Control Laboratories.
IEEE Trans. Educ., 2010

Polytopic Approximation of Explicit Model Predictive Controllers.
IEEE Trans. Autom. Control., 2010

Predictive power dispatch through negotiated locational pricing.
Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, 2010

Multicore thermal management using approximate explicit model predictive control.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Temperature sensor placement in thermal management systems for MPSoCs.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Robust stability properties of soft constrained MPC.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Least-restrictive robust MPC of periodic affine systems with application to building climate control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions.
Proceedings of the American Control Conference, 2010

Optimized decision trees for point location in polytopic data sets - application to explicit MPC.
Proceedings of the American Control Conference, 2010

2009
Approximate explicit MPC using bilevel optimization.
Proceedings of the 10th European Control Conference, 2009

System identification with missing data via nuclear norm regularization.
Proceedings of the 10th European Control Conference, 2009

Real-time MPC - Stability through robust MPC design.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A multiscale approximation scheme for explicit model predictive control with stability, feasibility, and performance guarantees.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Real-time input-constrained MPC using fast gradient methods.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Bilevel programming for analysis of low-complexity control of linear systems with constraints.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

System identification via nuclear norm regularization for simulated moving bed processes from incomplete data sets.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Model predictive control of linear periodic systems - a unified framework including control of multirate and multiplexed systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Intelligent Decision Support in Medicine: Back to Bayes?
J. Univers. Comput. Sci., 2008

A tractable approximation of chance constrained stochastic MPC based on affine disturbance feedback.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

The double description method for the approximation of explicit MPC control laws.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Multiparametric Linear Programming with Applications to Control.
Eur. J. Control, 2007

Lexicographic perturbation for multiparametric linear programming with applications to control.
Autom., 2007

Controller complexity reduction for piecewise affine systems through safe region elimination.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
On the facet-to-facet property of solutions to convex parametric quadratic programs.
Autom., 2006

A logarithmic-time solution to the point location problem for parametric linear programming.
Autom., 2006

Primal-Dual Enumeration for Multiparametric Linear Programming.
Proceedings of the Mathematical Software, 2006

Multiparametric Linear Complementarity Problems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Reverse Search for Parametric Linear Programming.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Parametric Analysis of Controllers for Constrained Linear Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006


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