Johannes Köhler

CoRR, July, 2025

A robust and adaptive MPC formulation for Gaussian process models.

[BibT_eX]

[DOI]

CoRR, July, 2025

Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework.

[BibT_eX]

[DOI]

Patrick Benito Eberhard

CoRR, July, 2025

Optimal kernel regression bounds under energy-bounded noise.

[BibT_eX]

[DOI]

CoRR, May, 2025

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics.

[BibT_eX]

[DOI]

CoRR, May, 2025

Robust MPC for Uncertain Linear Systems - Combining Model Adaptation and Iterative Learning.

[BibT_eX]

[DOI]

Hannes Petrenz

Francesco Borrelli

CoRR, April, 2025

Beyond Asymptotics: Targeted exploration with finite-sample guarantees.

[BibT_eX]

[DOI]

CoRR, April, 2025

Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints.

[BibT_eX]

[DOI]

Lukas Schwenkel

CoRR, April, 2025

Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time.

[BibT_eX]

[DOI]

Lukas Schwenkel

Carsten W. Scherer

CoRR, March, 2025

Stochastic Model Predictive Control for Sub-Gaussian Noise.

[BibT_eX]

[DOI]

Melanie Nicole Zeilinger

Philipp Fürnstahl

Andreas Krause

CoRR, March, 2025

Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees.

[BibT_eX]

[DOI]

CoRR, February, 2025

Sequential Learning and Control: Targeted Exploration for Robust Performance.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., January, 2025

Embedded Hierarchical MPC for Autonomous Navigation.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2025

A Model-Free Approach to Control Barrier Functions Using Funnel Control.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2025

Nonlinear functional estimation: Functional detectability and full information estimation.

[BibT_eX]

[DOI]

Simon Muntwiler

Autom., 2025

2024

Active Learning-Based Model Predictive Coverage Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., September, 2024

Motion Planning Using Reactive Circular Fields: A 2-D Analysis of Collision Avoidance and Goal Convergence.

[BibT_eX]

[DOI]

Marvin Becker

Sami Haddadin

IEEE Trans. Autom. Control., March, 2024

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

Robust targeted exploration for systems with non-stochastic disturbances.

[BibT_eX]

[DOI]

Mark Cannon

CoRR, 2024

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Online convex optimization for constrained control of nonlinear systems.

[BibT_eX]

[DOI]

Marko Nonhoff

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

Adaptive tracking MPC for nonlinear systems via online linear system identification.

[BibT_eX]

[DOI]

Tatiana Strelnikova

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

Analysis and design of model predictive control frameworks for dynamic operation - An overview.

[BibT_eX]

[DOI]

Annu. Rev. Control., 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

Andrea Carron

Marco Pavone

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Parallelizable Parametric Nonlinear System Identification via tuning of a Moving Horizon State Estimator.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

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

[BibT_eX]

[DOI]

Melanie Nicole Zeilinger

Teodoro Alamo

Daniel Limón

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

A Lyapunov Function for Robust Stability of Moving Horizon Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., December, 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

Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach.

[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

A Nonlinear MPC Scheme for Output Tracking Without Terminal Ingredients.

[BibT_eX]

[DOI]

Raffaele Soloperto

IEEE Trans. Autom. Control., 2023

Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic Constraints.

[BibT_eX]

[DOI]

Lukas Schwenkel

Giancarlo Ferrari-Trecate

IEEE Trans. Autom. Control., 2023

Homothetic Tube Model Predictive Control With Multi-Step Predictors.

[BibT_eX]

[DOI]

Danilo Saccani

IEEE Control. Syst. Lett., 2023

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

[BibT_eX]

[DOI]

Simon Muntwiler

CoRR, 2023

Automatic nonlinear MPC approximation with closed-loop guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

Towards non-stochastic targeted exploration.

[BibT_eX]

[DOI]

Mark Cannon

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Predictive safety filter using system level synthesis.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 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

2022

Constrained Nonlinear Output Regulation Using Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven Case.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based Case.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

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

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Robust peak-to-peak gain analysis using integral quadratic constraints.

[BibT_eX]

[DOI]

CoRR, 2022

Online convex optimization for constrained control of linear systems using a reference governor.

[BibT_eX]

[DOI]

Marko Nonhoff

CoRR, 2022

Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence.

[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

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

[BibT_eX]

[DOI]

CoRR, 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

Stability in data-driven MPC: an inherent robustness perspective.

[BibT_eX]

[DOI]

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

2021

A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Data-Driven Model Predictive Control With Stability and Robustness Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Robust output feedback model predictive control using online estimation bounds.

[BibT_eX]

[DOI]

CoRR, 2021

On the design of terminal ingredients for data-driven MPC.

[BibT_eX]

[DOI]

CoRR, 2021

Stability and performance in MPC using a finite-tail cost.

[BibT_eX]

[DOI]

CoRR, 2021

Determining optimal input-output properties: A data-driven approach.

[BibT_eX]

[DOI]

Autom., 2021

Data-driven model predictive control: closed-loop guarantees and experimental results.

[BibT_eX]

[DOI]

Autom., 2021

Robust and optimal predictive control of the COVID-19 outbreak.

[BibT_eX]

[DOI]

Annu. Rev. Control., 2021

Offset-free setpoint tracking using neural network controllers.

[BibT_eX]

[DOI]

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

2020

A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal Ingredients.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance.

[BibT_eX]

[DOI]

Raffaele Soloperto

IEEE Control. Syst. Lett., 2020

Constrained nonlinear output regulation using model predictive control - extended version.

[BibT_eX]

[DOI]

CoRR, 2020

Periodic optimal control of nonlinear constrained systems using economic model predictive control.

[BibT_eX]

[DOI]

CoRR, 2020

A nonlinear tracking model predictive control scheme for dynamic target signals.

[BibT_eX]

[DOI]

Autom., 2020

Dissipativity properties in constrained optimal control: A computational approach.

[BibT_eX]

[DOI]

Autom., 2020

Comparative Study of a Biomechanical Model-based and Black-box Approach for Subject-Specific Movement Prediction<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Robust Dual Control based on Gain Scheduling.

[BibT_eX]

[DOI]

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

Dynamic uncertainties in model predictive control: guaranteed stability for constrained linear systems.

[BibT_eX]

[DOI]

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

Implicit solutions to constrained nonlinear output regulation using MPC.

[BibT_eX]

[DOI]

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

Robust Constraint Satisfaction in Data-Driven MPC.

[BibT_eX]

[DOI]

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

2019

Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

One-Shot Verification of Dissipativity Properties From Input-Output Data.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2019

Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Economic Model Predictive Control without Terminal Conditions.

[BibT_eX]

[DOI]

CoRR, 2019

Stability and performance in transient average constrained economic MPC without terminal constraints.

[BibT_eX]

[DOI]

Mario Rosenfelder

CoRR, 2019

A robust adaptive model predictive control framework for nonlinear uncertain systems.

[BibT_eX]

[DOI]

CoRR, 2019

Data-Driven Tracking MPC for Changing Setpoints.

[BibT_eX]

[DOI]

CoRR, 2019

Distributed model predictive control - Recursive feasibility under inexact dual optimization.

[BibT_eX]

[DOI]

Autom., 2019

Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

A simple framework for nonlinear robust output-feedback MPC.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Dual Adaptive MPC for output tracking of linear systems.

[BibT_eX]

[DOI]

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

Linear robust adaptive model predictive control: Computational complexity and conservatism.

[BibT_eX]

[DOI]

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

2018

On Periodic Dissipativity Notions in Economic Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2018

Learning an Approximate Model Predictive Controller With Guarantees.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2018

Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2018

Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

A novel constraint tightening approach for nonlinear robust model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach.

[BibT_eX]

[DOI]

Chinwendu Enyioha