activity
20142026
most citedAnalysis and design of model predictive control frameworks for dynamic operation -- An overview

75 citations · 309 across the 47 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

eess.SY2026

Turnpike properties in nonlinear system identification

Julian D. Schiller, Matthias A. Müller

We analyze the problem of learning general discrete-time nonlinear state-space models using the simulation error minimization (SEM) method. In this setting, model parameters are ty…

eess.SY2026

Local Observability and Moving Horizon Estimation-based Training of Feedforward Neural Networks

Yi Yang, Victor G. Lopez, Matthias A. Müller

In this paper, we propose a moving horizon estimation (MHE)-based training method for feedforward neural networks (FNNs) with rectified linear unit (ReLU) activation functions to d…

math.OC2026

On stability and non-averaged performance of economic MPC with terminal conditions for optimal periodic operation

Jonas Mair, Lukas Schwenkel, Matthias A. Müller +1

Operation at steady state is often not optimal when optimizing over an economic cost objective. In many cases, periodic operation yields better performance. Therefore, we derive as…

eess.SY2026

Small-gain analysis of exponential incremental input/output-to-state stability for large-scale distributed systems

Christian Gatke, Julian D. Schiller, Matthias A. Müller

We provide a detectability analysis for nonlinear large-scale distributed systems in the sense of exponential incremental input/output-to-state stability (i-IOSS). In particular, w…

eess.SY2026

An Output Feedback Q-learning Algorithm for Optimal Control of Nonlinear Systems with Koopman Linear Embedding

Victor G. Lopez, Malte Heinrich, Matthias A. Müller

In the reinforcement learning literature, strong theoretical guarantees have been obtained for algorithms applicable to LTI systems. However, in the nonlinear case only weaker resu…

eess.SY2026

Sample-based detectability and moving horizon state estimation of continuous-time systems

Isabelle Krauss, Victor G. Lopez, Matthias A. Müller

In this paper we propose a detectability condition for nonlinear continuous-time systems with irregular/infrequent output measurements, namely a sample-based version of incremental…

eess.SY2026

On Data-based Nash Equilibria in LQ Nonzero-sum Differential Games

Victor G. Lopez, Matthias A. Müller

This paper considers data-based solutions of linear-quadratic nonzero-sum differential games. Two cases are considered. First, the deterministic game is solved and Nash equilibrium…