Search Results for author: Stefan Wildhagen

Found 6 papers, 0 papers with code

Self-triggered MPC robust to bounded packet loss via a min-max approach: extended version

no code implementations1 Apr 2022 Stefan Wildhagen, Matthias Pezzutto, Luca Schenato, Frank Allgöwer

Networked Control Systems typically come with a limited communication bandwidth and thus require special care when designing the underlying control and triggering law.

Model Predictive Control

Uncertainties and output feedback in rollout event-triggered control

no code implementations20 Aug 2021 Stefan Wildhagen, Frank Allgöwer

Rollout ETC addresses this issue by using a triggering and control law that is implicitly defined by the solution to an optimal control problem (OCP), instead of an explicit one as in classical ETC.

Model Predictive Control

Rollout event-triggered control: reconciling event- and time-triggered control

no code implementations6 Aug 2021 Stefan Wildhagen, Frank Dürr, Frank Allgöwer

Event-triggered control (ETC) and time-triggered control (TTC), the classical concepts to determine the transmission instants for networked control systems, each come with drawbacks: It is difficult to tune ETC such that a certain bandwidth is respected, whereas TTC cannot adapt the sampling interval to the current state of the control system.

Scheduling

Multi-party computation enables secure polynomial control based solely on secret-sharing

no code implementations30 Mar 2021 Sebastian Schlor, Michael Hertneck, Stefan Wildhagen, Frank Allgöwer

As homomorphic encryptions are much more computationally demanding than secret sharing, they make up for a tremendous amount of the overall computational demand of this scheme.

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis

no code implementations26 Mar 2021 Stefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer

Recently, model- and data-based stability conditions for such systems were obtained by rewriting them as an interconnection of a linear time-invariant system and a delay operator, and subsequently, performing a robust stability analysis using a known bound on the gain of this operator.

Data-driven analysis and controller design for discrete-time systems under aperiodic sampling

no code implementations4 Jan 2021 Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer

This article is concerned with data-driven analysis of discrete-time systems under aperiodic sampling, and in particular with a data-driven estimation of the maximum sampling interval (MSI).

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