258 citations · 328 across the 12 of their papers we have counts for
13 papers
Current trends and future directions in event-based control
Michael Hertneck, David Meister, Frank Allgöwer
The defining characteristic of event-based control is that feedback loops are only closed when indicated by a triggering condition that takes recent information about the system in…
Self-triggered output feedback control for nonlinear networked control systems based on hybrid Lyapunov functions
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. However…
Dynamic self-triggered control for nonlinear systems with delays
Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a resource efficient approach to determine sampling instants for Networked Control Systems (NCS). Recently, a dynamic STC strategy based on hybrid L…
Robust dynamic self-triggered control for nonlinear systems using hybrid Lyapunov functions
Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a resource efficient approach to determine sampling instants for Networked Control Systems. At each sampling instant, an STC mechanism determines no…
Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions
Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a well-established technique to reduce the amount of samples for sampled-data systems, and is hence particularly useful for Networked Control System…
Multi-party computation enables secure polynomial control based solely on secret-sharing
Sebastian Schlor, Michael Hertneck, Stefan Wildhagen +1
Encrypted control systems allow to evaluate feedback laws on external servers without revealing private information about state and input data, the control law, or the plant. While…
Data-driven analysis and controller design for discrete-time systems under aperiodic sampling
Stefan Wildhagen, Julian Berberich, Michael Hertneck +1
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 inter…
Data-driven analysis and control of continuous-time systems under aperiodic sampling
Julian Berberich, Stefan Wildhagen, Michael Hertneck +1
We investigate stability analysis and controller design of unknown continuous-time systems under state-feedback with aperiodic sampling, using only noisy data but no model knowledg…
A Simple Approach to Increase the Maximum Allowable Transmission Interval
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 transmis…
Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems
Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer
This paper considers the stability analysis for nonlinear sampled-data systems with failures in the feedback loop. The failures are caused by shared resources, and modeled by a wea…
Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction
Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer
In this paper, we present a model-based periodic event-triggered control mechanism for nonlinear continuous-time Networked Control Systems. A sampled-data prediction of the system…
Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions
Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer
This paper considers the stabilization of nonlinear continuous-time dynamical systems employing periodic event-triggered control (PETC). Assuming knowledge of a stabilizing feedbac…
Learning an Approximate Model Predictive Controller with Guarantees
Michael Hertneck, Johannes Köhler, Sebastian Trimpe +1
A supervised learning framework is proposed to approximate a model predictive controller (MPC) with reduced computational complexity and guarantees on stability and constraint sati…