Johannes Köhler

Orcid: 0000-0002-5556-604X

According to our database1, Johannes Köhler authored at least 96 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Nonlinear functional estimation: Functional detectability and full information estimation.
Autom., 2025

2024
Active Learning-Based Model Predictive Coverage Control.
IEEE Trans. Autom. Control., September, 2024

Motion Planning Using Reactive Circular Fields: A 2-D Analysis of Collision Avoidance and Goal Convergence.
IEEE Trans. Autom. Control., March, 2024

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors.
CoRR, 2024

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CoRR, 2024

From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements.
CoRR, 2024

Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise.
CoRR, 2024

Embedded Hierarchical MPC for Autonomous Navigation.
CoRR, 2024

Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation.
CoRR, 2024

Adaptive tracking MPC for nonlinear systems via online linear system identification.
CoRR, 2024

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).
CoRR, 2024

Adaptive Economic Model Predictive Control for linear systems with performance guarantees.
CoRR, 2024

Safe Guaranteed Exploration for Non-linear Systems.
CoRR, 2024

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.
CoRR, 2024

Analysis and design of model predictive control frameworks for dynamic operation - An overview.
Annu. Rev. Control., 2024

2023
A Lyapunov Function for Robust Stability of Moving Horizon Estimation.
IEEE Trans. Autom. Control., December, 2023

Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs.
IEEE Trans. Autom. Control., October, 2023

Robust adaptive MPC using control contraction metrics.
Autom., September, 2023

Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach.
IEEE Trans. Autom. Control., May, 2023

Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks".
Dataset, April, 2023

A Nonlinear MPC Scheme for Output Tracking Without Terminal Ingredients.
IEEE Trans. Autom. Control., 2023

Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic Constraints.
IEEE Trans. Autom. Control., 2023

Homothetic Tube Model Predictive Control With Multi-Step Predictors.
IEEE Control. Syst. Lett., 2023

MHE under parametric uncertainty - Robust state estimation without informative data.
CoRR, 2023

Automatic nonlinear MPC approximation with closed-loop guarantees.
CoRR, 2023

Towards non-stochastic targeted exploration.
CoRR, 2023

Approximate non-linear model predictive control with safety-augmented neural networks.
CoRR, 2023

Sequential learning and control: Targeted exploration for robust performance.
CoRR, 2023

Robust Nonlinear Optimal Control via System Level Synthesis.
CoRR, 2023

Predictive safety filter using system level synthesis.
Proceedings of the Learning for Dynamics and Control Conference, 2023

On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Nonlinear Reduced-Order Model Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Constrained Nonlinear Output Regulation Using Model Predictive Control.
IEEE Trans. Autom. Control., 2022

Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven Case.
IEEE Trans. Autom. Control., 2022

Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based Case.
IEEE Trans. Autom. Control., 2022

Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint.
IEEE Control. Syst. Lett., 2022

Robust peak-to-peak gain analysis using integral quadratic constraints.
CoRR, 2022

Online convex optimization for constrained control of linear systems using a reference governor.
CoRR, 2022

Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence.
CoRR, 2022

Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version.
CoRR, 2022

Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version.
CoRR, 2022

State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Stability in data-driven MPC: an inherent robustness perspective.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems.
IEEE Trans. Autom. Control., 2021

Data-Driven Model Predictive Control With Stability and Robustness Guarantees.
IEEE Trans. Autom. Control., 2021

Robust output feedback model predictive control using online estimation bounds.
CoRR, 2021

On the design of terminal ingredients for data-driven MPC.
CoRR, 2021

Stability and performance in MPC using a finite-tail cost.
CoRR, 2021

Determining optimal input-output properties: A data-driven approach.
Autom., 2021

Data-driven model predictive control: closed-loop guarantees and experimental results.
Autom., 2021

Robust and optimal predictive control of the COVID-19 outbreak.
Annu. Rev. Control., 2021

Offset-free setpoint tracking using neural network controllers.
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.
IEEE Trans. Autom. Control., 2020

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control.
IEEE Robotics Autom. Lett., 2020

Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance.
IEEE Control. Syst. Lett., 2020

Constrained nonlinear output regulation using model predictive control - extended version.
CoRR, 2020

Periodic optimal control of nonlinear constrained systems using economic model predictive control.
CoRR, 2020

A nonlinear tracking model predictive control scheme for dynamic target signals.
Autom., 2020

Dissipativity properties in constrained optimal control: A computational approach.
Autom., 2020

Comparative Study of a Biomechanical Model-based and Black-box Approach for Subject-Specific Movement Prediction<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Robust Dual Control based on Gain Scheduling.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Dynamic uncertainties in model predictive control: guaranteed stability for constrained linear systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Implicit solutions to constrained nonlinear output regulation using MPC.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust Constraint Satisfaction in Data-Driven MPC.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective.
IEEE Trans. Autom. Control., 2019

One-Shot Verification of Dissipativity Properties From Input-Output Data.
IEEE Control. Syst. Lett., 2019

Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control.
CoRR, 2019

Robust Economic Model Predictive Control without Terminal Conditions.
CoRR, 2019

Stability and performance in transient average constrained economic MPC without terminal constraints.
CoRR, 2019

A robust adaptive model predictive control framework for nonlinear uncertain systems.
CoRR, 2019

Data-Driven Tracking MPC for Changing Setpoints.
CoRR, 2019

Distributed model predictive control - Recursive feasibility under inexact dual optimization.
Autom., 2019

Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control.
Proceedings of the 17th European Control Conference, 2019

A simple framework for nonlinear robust output-feedback MPC.
Proceedings of the 17th European Control Conference, 2019

Dual Adaptive MPC for output tracking of linear systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Linear robust adaptive model predictive control: Computational complexity and conservatism.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
On Periodic Dissipativity Notions in Economic Model Predictive Control.
IEEE Control. Syst. Lett., 2018

Learning an Approximate Model Predictive Controller With Guarantees.
IEEE Control. Syst. Lett., 2018

Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties.
IEEE Control. Syst. Lett., 2018

Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach.
Proceedings of the 16th European Control Conference, 2018

A novel constraint tightening approach for nonlinear robust model predictive control.
Proceedings of the 2018 Annual American Control Conference, 2018

Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Real time economic dispatch for power networks: A distributed economic model predictive control approach.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Enhanced Usability and Applicability for Simultaneous Geometry and Reflectance Acquisition.
PhD thesis, 2016

2015
Fully Automatic, Omnidirectional Acquisition of Geometry and Appearance in the Context of Cultural Heritage Preservation.
ACM Journal on Computing and Cultural Heritage, 2015

Improvement of Phase Unwrapping Algorithms by Epipolar Constraints.
Proceedings of the VISAPP 2015, 2015

Structure from Motion in the Context of Active Scanning.
Proceedings of the VISAPP 2015, 2015

2014
Facilitating Access to the Field of Geometry and Reflectance Acquisition.
Proceedings of the 12th Eurographics Workshop on Graphics and Cultural Heritage, 2014

Robust and Accurate Non-parametric Estimation of Reflectance Using Basis Decomposition and Correction Functions.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
A full-spherical device for simultaneous geometry and reflectance acquisition.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Faithful, compact and complete digitization of cultural heritage using a full-spherical scanner.
Proceedings of the 1st Digital Heritage International Congress, 2013

2012
Robust Outlier Removal from Point Clouds Acquired with Structured Light.
Proceedings of the 33rd Annual Conference of the European Association for Computer Graphics, 2012

High Quality and Memory Efficient Representation for Image Based 3D Reconstructions.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

2010
Detection and Identification Techniques for Markers Used in Computer Vision.
Proceedings of the Visualization of Large and Unstructured Data Sets, 2010

Robust Detection and Identification of Partially Occluded Circular Markers.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

2009
Multimodal Visualization.
Proceedings of the 2009 International Conference on Computer Graphics & Virtual Reality, 2009


  Loading...