75 citations · 309 across the 47 of their papers we have counts for
7 papers · 1 filter
Optimal state estimation: Turnpike analysis and performance results
Julian D. Schiller, Lars Grüne, Matthias A. Müller
In this paper, we introduce turnpike arguments in the context of optimal state estimation. In particular, we show that the optimal solution of the state estimation problem involvin…
Event-triggered moving horizon estimation for nonlinear systems
Isabelle Krauss, Julian D. Schiller, Victor G. Lopez +1
This work proposes an event-triggered moving horizon estimation (ET-MHE) scheme for general nonlinear systems. The key components of the proposed scheme are a novel event-triggerin…
Disturbance feedback-based model predictive control in uncertain dynamic environments
Philipp Buschermöhle, Taouba Jouini, Torsten Lilge +1
This paper presents a robust MPC scheme for linear systems subject to time-varying, uncertain constraints that arise from uncertain environments. The predicted input sequence is pa…
Data-Based System Representation and Synchronization for Multiagent Systems
Victor G. Lopez, Matthias A. Müller
This paper presents novel solutions of the data-based synchronization problem for continuous-time multiagent systems. We consider the cases of homogeneous and heterogeneous systems…
Moving horizon estimation for nonlinear systems with time-varying parameters
Julian D. Schiller, Matthias A. Müller
We propose a moving horizon estimation scheme for estimating the states and time-varying parameters of nonlinear systems. We consider the case where observability of the parameters…
Data-Based Control of Continuous-Time Linear Systems with Performance Specifications
Victor G. Lopez, Matthias A. Müller
The design of direct data-based controllers has become a fundamental part of control theory research in the last few years. In this paper, we consider three classes of data-based s…
Online convex optimization for robust control of constrained dynamical systems
Marko Nonhoff, Emiliano Dall'Anese, Matthias A. Müller
This article investigates the problem of controlling linear time-invariant systems subject to time-varying and a priori unknown cost functions, state and input constraints, and exo…