no code implementations • 22 Mar 2023 • Michael Hertneck, Frank Allgöwer
Most approaches for self-triggered control (STC) of nonlinear networked control systems (NCS) require measurements of the full system state to determine transmission times.
no code implementations • 9 Feb 2022 • Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a resource efficient approach to determine sampling instants for Networked Control Systems (NCS).
no code implementations • 8 Nov 2021 • Michael Hertneck, Frank Allgöwer
In the framework, a dynamic variable is used in addition to current state information to determine the next sampling instant, rendering the STC mechanism dynamic.
no code implementations • 14 Sep 2021 • Michael Hertneck, Frank Allgöwer
In this paper, a dynamic STC mechanism for nonlinear systems is proposed.
no code implementations • 30 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.
no code implementations • 4 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).
no code implementations • 5 Jun 2020 • Michael Hertneck, Frank Allgöwer
When designing Networked Control Systems (NCS), the maximum allowable transmission interval (MATI) is an important quantity, as it provides the admissible time between two transmission instants.
no code implementations • 11 Jun 2018 • Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer
A supervised learning framework is proposed to approximate a model predictive controller (MPC) with reduced computational complexity and guarantees on stability and constraint satisfaction.
