Melanie Nicole Zeilinger

Autom., 2025

2024

Active Learning-Based Model Predictive Coverage Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., September, 2024

Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., July, 2024

A Soft Robotic Actuator System for In Vivo Modeling of Normal Pressure Hydrocephalus.

[BibT_eX]

[DOI]

Fabian Flürenbrock

Luca Rosalia

Anthony Podgorsak

Katherina Sapozhnikov

Nina Eva Trimmel

Miriam Weisskopf

Markus Florian Oertel

Ellen T. Roche

Leonie Korn

IEEE Trans. Biomed. Eng., March, 2024

Lambda-Skip Connections: the architectural component that prevents Rank Collapse.

[BibT_eX]

[DOI]

Federico Arangath Joseph

Carmen Amo Alonso

CoRR, 2024

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors.

[BibT_eX]

[DOI]

CoRR, 2024

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.

[BibT_eX]

[DOI]

CoRR, 2024

Data-driven control of input-affine systems: the role of the signature transform.

[BibT_eX]

[DOI]

Anna Scampicchio

CoRR, 2024

From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements.

[BibT_eX]

[DOI]

CoRR, 2024

Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise.

[BibT_eX]

[DOI]

CoRR, 2024

Computationally Efficient System Level Tube-MPC for Uncertain Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot.

[BibT_eX]

[DOI]

CoRR, 2024

Stochastic Online Optimization for Cyber-Physical and Robotic Systems.

[BibT_eX]

[DOI]

Hao Ma

Michael Muehlebach

CoRR, 2024

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).

[BibT_eX]

[DOI]

Luis A. Pabon

John Irvin Alora

Patrick Benito Eberhard

Marco Pavone

CoRR, 2024

Adaptive Economic Model Predictive Control for linear systems with performance guarantees.

[BibT_eX]

[DOI]

CoRR, 2024

Time-Optimal Flight with Safety Constraints and Data-driven Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

State Space Models as Foundation Models: A Control Theoretic Overview.

[BibT_eX]

[DOI]

Carmen Amo Alonso

CoRR, 2024

Safe Guaranteed Exploration for Non-linear Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.

[BibT_eX]

[DOI]

CoRR, 2024

Predictive stability filters for nonlinear dynamical systems affected by disturbances.

[BibT_eX]

[DOI]

CoRR, 2024

Inverse optimal control as an errors-in-variables problem.

[BibT_eX]

[DOI]

Rahel Rickenbach

Anna Scampicchio

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Probabilistic ODE solvers for integration error-aware numerical optimal control.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Submodular Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2024

Model-based Estimation of Ventricular Cerebrospinal Fluid Volume.

[BibT_eX]

[DOI]

Fabian Flürenbrock

Leonie Korn

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023

A Lyapunov Function for Robust Stability of Moving Horizon Estimation.

[BibT_eX]

[DOI]

Matthias Albrecht Müller

IEEE Trans. Autom. Control., December, 2023

Stochastic MPC With Robustness to Bounded Parameteric Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., December, 2023

Zero-order optimization for Gaussian process-based model predictive control.

[BibT_eX]

[DOI]

Eur. J. Control, November, 2023

Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs.

[BibT_eX]

[DOI]

Lars Grüne

IEEE Trans. Autom. Control., October, 2023

Robust adaptive MPC using control contraction metrics.

[BibT_eX]

[DOI]

András Sasfi

Autom., September, 2023

Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., August, 2023

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.

[BibT_eX]

[DOI]

Maria Vittoria Minniti

IEEE Robotics Autom. Lett., June, 2023

Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., May, 2023

Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks".

[BibT_eX]

[DOI]

Dataset, April, 2023

Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint.

[BibT_eX]

[DOI]

Anna Scampicchio

Giancarlo Ferrari-Trecate

IEEE Control. Syst. Lett., 2023

Homothetic Tube Model Predictive Control With Multi-Step Predictors.

[BibT_eX]

[DOI]

Danilo Saccani

IEEE Control. Syst. Lett., 2023

Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

MHE under parametric uncertainty - Robust state estimation without informative data.

[BibT_eX]

[DOI]

CoRR, 2023

Automatic nonlinear MPC approximation with closed-loop guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Approximate non-linear model predictive control with safety-augmented neural networks.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-agent Distributed Model Predictive Control with Connectivity Constraint.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Nonlinear Optimal Control via System Level Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Time Dependent Inverse Optimal Control using Trigonometric Basis Functions.

[BibT_eX]

[DOI]

Rahel Rickenbach

Proceedings of the Learning for Dynamics and Control Conference, 2023

Predictive safety filter using system level synthesis.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2023

Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2023

Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework.

[BibT_eX]

[DOI]

Ferdinand Geuss

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Nonlinear Reduced-Order Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.

[BibT_eX]

[DOI]

Wenceslao Shaw-Cortez

Draguna L. Vrabie

Proceedings of the American Control Conference, 2023

2022

Probabilistic Model Predictive Safety Certification for Learning-Based Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

System level disturbance reachable sets and their application to tube-based MPC.

[BibT_eX]

[DOI]

Eur. J. Control, 2022

A Soft Constrained MPC Formulation Enabling Learning From Trajectories With Constraint Violations.

[BibT_eX]

[DOI]

Raamadaas Krishnadas

IEEE Control. Syst. Lett., 2022

A System Level Approach to Tube-Based Model Predictive Control.

[BibT_eX]

[DOI]

Samir Bennani

IEEE Control. Syst. Lett., 2022

Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

A System Level Approach to Regret Optimal Control.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Asynchronous Computation of Tube-based Model Predictive Control.

[BibT_eX]

[DOI]

CoRR, 2022

Generalised Regret Optimal Controller Synthesis for Constrained Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version.

[BibT_eX]

[DOI]

CoRR, 2022

Stochastic MPC with robustness to bounded parametric uncertainty.

[BibT_eX]

[DOI]

CoRR, 2022

Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version.

[BibT_eX]

[DOI]

CoRR, 2022

Near-Optimal Multi-Agent Learning for Safe Coverage Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Contextual Tuning of Model Predictive Control for Autonomous Racing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On-Policy Model Errors in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A Feasible Sequential Linear Programming Algorithm with Application to Time-Optimal Path Planning Problems.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

2021

Inverse Learning for Data-Driven Calibration of Model-Based Statistical Path Planning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., 2021

Constrained Inverse Optimal Control With Application to a Human Manipulation Task.

[BibT_eX]

[DOI]

Peter Worsnop

IEEE Trans. Control. Syst. Technol., 2021

Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2021

Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2021

Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus.

[BibT_eX]

[DOI]

Sensors, 2021

A Predictive Safety Filter for Learning-Based Racing Control.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme.

[BibT_eX]

[DOI]

Vasileios Lefkopoulos

IEEE Robotics Autom. Lett., 2021

Model Learning and Contextual Controller Tuning for Autonomous Racing.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2021

A System Level Approach to Robust Model Predictive Control.

[BibT_eX]

[DOI]

Samir Bennani

CoRR, 2021

Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments.

[BibT_eX]

[DOI]

Bratislav Svetozarevic

CoRR, 2021

A predictive safety filter for learning-based control of constrained nonlinear dynamical systems.

[BibT_eX]

[DOI]

Autom., 2021

Preface.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Cautious Bayesian Optimization for Efficient and Scalable Policy Search.

[BibT_eX]

[DOI]

Lukas P. Fröhlich

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.

[BibT_eX]

[DOI]

Carlo Alberto Pascucci

Aldo U. Zgraggen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction.

[BibT_eX]

[DOI]

Proceedings of the 2021 European Control Conference, 2021

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.

[BibT_eX]

[DOI]

Nikolaos Tachatos

Proceedings of the 2021 European Control Conference, 2021

Adaptive Model Predictive Safety Certification for Learning-based Control.

[BibT_eX]

[DOI]

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

Bayesian multi-task learning using finite-dimensional models: A comparative study.

[BibT_eX]

[DOI]

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

2020

Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

Cautious Model Predictive Control Using Gaussian Process Regression.

[BibT_eX]

[DOI]

Juraj Kabzan

IEEE Trans. Control. Syst. Technol., 2020

Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations.

[BibT_eX]

[DOI]

CoRR, 2020

Distributed Safe Learning using an Invariance-based Safety Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees.

[BibT_eX]

[DOI]

CoRR, 2020

Maximum Likelihood Methods for Inverse Learning of Optimal Controllers.

[BibT_eX]

[DOI]

CoRR, 2020

Recursively feasible stochastic model predictive control using indirect feedback.

[BibT_eX]

[DOI]

Autom., 2020

Learning-Based Model Predictive Control: Toward Safe Learning in Control.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2020

Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

On Simulation and Trajectory Prediction with Gaussian Process Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback.

[BibT_eX]

[DOI]

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

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.

[BibT_eX]

[DOI]

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

2019

Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Learning-Based Model Predictive Control for Autonomous Racing.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control.

[BibT_eX]

[DOI]

CoRR, 2019

Distributed Model Predictive Safety Certification for Learning-based Control.

[BibT_eX]

[DOI]

CoRR, 2019

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Inverse Learning for Human-Adaptive Motion Planning.

[BibT_eX]

[DOI]

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

2018

Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task.

[BibT_eX]

[DOI]

Peter Worsnop

CoRR, 2018

Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable synthesis of safety certificates from data with application to learning-based control.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

Convex Formulations and Algebraic Solutions for Linear Quadratic Inverse Optimal Control Problems.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

A User Comfort Model and Index Policy for Personalizing Discrete Controller Decisions.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars.

[BibT_eX]

[DOI]

Alexander Liniger

Proceedings of the 16th European Control Conference, 2018

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

Linear Model Predictive Safety Certification for Learning-Based Control.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Quantization Design for Distributed Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars.

[BibT_eX]

[DOI]

Alexander Liniger

CoRR, 2017

Cautious Model Predictive Control using Gaussian Process Regression.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Gaussian Process-Based Predictive Control for Periodic Error Correction.

[BibT_eX]

[DOI]

Bernhard Schölkopf

Philipp Hennig

IEEE Trans. Control. Syst. Technol., 2016

MPC for Tracking Periodic References.

[BibT_eX]

[DOI]

Daniel Limón

Mario Pereira

David Muñoz de la Peña

Teodoro Alamo

IEEE Trans. Autom. Control., 2016

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

[BibT_eX]

[DOI]

Autom., 2016

Approximate dual control maintaining the value of information with an application to building control.

[BibT_eX]

[DOI]

Philipp Hennig

Bernhard Schölkopf

Proceedings of the 15th European Control Conference, 2016

2015

Constrained Spectrum Control.

[BibT_eX]

[DOI]

Jean-Hubert Hours

Ravi Gondhalekar

IEEE Trans. Autom. Control., 2015

Quantization design for distributed optimization with time-varying parameters.

[BibT_eX]

[DOI]

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

Quantization design for unconstrained distributed optimization.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Soft Constrained Model Predictive Control With Robust Stability Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

On real-time robust model predictive control.

[BibT_eX]

[DOI]

Davide Martino Raimondo

Autom., 2014

Utility learning model predictive control for personal electric loads.

[BibT_eX]

[DOI]

Insoon Yang

Claire J. Tomlin

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

Inexact fast alternating minimization algorithm for distributed model predictive control.

[BibT_eX]

[DOI]

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

Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids.

[BibT_eX]

[DOI]

Somil Bansal

Claire J. Tomlin

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

Reachability-based safe learning with Gaussian processes.

[BibT_eX]

[DOI]

Anayo K. Akametalu

Shahab Kaynama

Jaime F. Fisac

Jeremy H. Gillula

Claire J. Tomlin

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

2013

Robust distributed model predictive control of linear systems.

[BibT_eX]

[DOI]

Proceedings of the 12th European Control Conference, 2013

Plug and play distributed model predictive control based on distributed invariance and optimization.

[BibT_eX]

[DOI]

Giancarlo Ferrari-Trecate

Stefano Riverso

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

Cooperative distributed tracking MPC for constrained linear systems: Theory and synthesis.

[BibT_eX]

[DOI]

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

Nonparametric dynamics estimation for time periodic systems.

[BibT_eX]

[DOI]

Bernhard Schölkopf

Philipp Hennig

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Efficient interior point methods for multistage problems arising in receding horizon control.

[BibT_eX]

[DOI]

Aldo U. Zgraggen

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

Computational aspects of distributed optimization in model predictive control.

[BibT_eX]

[DOI]

Tyler H. Summers

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

Spectrogram-MPC: Enforcing hard constraints on systems' output spectra.

[BibT_eX]

[DOI]

Jean-Hubert Hours

Ravi Gondhalekar

Proceedings of the American Control Conference, 2012

Distributed synthesis and control of constrained linear systems.

[BibT_eX]

[DOI]

Niklaus R. Voellmy

Proceedings of the American Control Conference, 2012

2011

Real-Time Suboptimal Model Predictive Control Using a Combination of Explicit MPC and Online Optimization.

[BibT_eX]

[DOI]

Colin Neil Jones

IEEE Trans. Autom. Control., 2011

Input-to-state stabilization of low-complexity model predictive controllers for linear systems.

[BibT_eX]

[DOI]

Georg Schildbach

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.

[BibT_eX]

[DOI]

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

2010

Robust stability properties of soft constrained MPC.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Real-time MPC - Stability through robust MPC design.

[BibT_eX]

[DOI]

Davide Martino Raimondo

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007

Controller complexity reduction for piecewise affine systems through safe region elimination.

[BibT_eX]

[DOI]

Frank J. Christophersen