activity
20222025
most citedRobust adaptive MPC using control contraction metrics

61 citations · 84 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SY2025

Stability of data-driven Koopman MPC with terminal conditions

Irene Schimperna, Lea Bold, Johannes Köhler +2

This paper derives conditions under which Model Predictive Control (MPC) with terminal conditions, using a data-driven surrogate model as a prediction model, asymptotically stabili…

math.OC2025

Guaranteed Robust Nonlinear MPC via Disturbance Feedback

Antoine P. Leeman, Johannes Köhler, Melanie N. Zeilinger

Robots must satisfy safety-critical state and input constraints despite disturbances and model mismatch. We introduce a robust model predictive control (RMPC) formulation that is f…

eess.SY2025

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

Patrick Benito Eberhard, Johannes Köhler, Oliver Hüsser +2

Time-varying coverage control addresses the challenge of coordinating multiple agents covering an environment where regions of interest change over time. This problem has broad app…

eess.SY2025

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

Lukas Schwenkel, Johannes Köhler, Matthias A. Müller +2

This article presents a novel framework for the robust controller synthesis problem in discrete-time systems using dynamic Integral Quadratic Constraints (IQCs). We present an algo…

eess.SY2025

Stochastic Model Predictive Control for Sub-Gaussian Noise

Yunke Ao, Johannes Köhler, Manish Prajapat +4

We propose a stochastic Model Predictive Control (MPC) framework that ensures closed-loop chance constraint satisfaction for linear systems with general sub-Gaussian process and me…

eess.SY2024

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems

Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger +2

We consider the problem of optimizing the economic performance of nonlinear constrained systems subject to uncertain time-varying parameters and bounded disturbances. In particular…