no code implementations • 4 Sep 2023 • Marijan Palmisano, Martin Steinberger, Martin Horn
A stochastic Model Predictive Control strategy for control systems with communication networks between the sensor node and the controller and between the controller and the actuator node is proposed.
no code implementations • 27 Mar 2023 • Benedikt Andritsch, Lars Watermann, Stefan Koch, Markus Reichhartinger, Johann Reger, Martin Horn
The continuous-time super-twisting controller is capable of rejecting any unknown Lipschitz-continuous perturbation and converges in finite time.
no code implementations • 27 Mar 2023 • Sandra Staudt, Viktor Unterberger, Markus Gölles, Michael Wernhart, René Rieberer, Martin Horn
The presented new modeling approach is considered suitable to be used as a basis for the design of advanced, model-based control strategies, ultimately aiming to improve the modulation and part load capability of AHPDs.
no code implementations • 2 Mar 2023 • Katarina Stanojevic, Martin Steinberger, Martin Horn
This paper presents a Lyapunov function based control strategy for networked control systems (NCS) affected by variable time delays and data loss.
1 code implementation • 25 Jan 2023 • Zlatan Ajanović, Enrico Regolin, Barys Shyrokau, Hana Ćatić, Martin Horn, Antonella Ferrara
The algorithm performance is evaluated in simulated driving on a mixed-track with segments of different curvatures (right and left).
no code implementations • 29 Nov 2021 • Markus Tranninger, Helmut Niederwieser, Richard Seeber, Martin Horn
This paper presents a new observer design approach for linear time invariant multivariable systems subject to unknown inputs.
no code implementations • 25 Jun 2021 • Markus Tranninger, Richard Seeber, Martin Steinberger, Martin Horn, Christian Pötzsche
This work proposes a detectability condition for linear time-varying systems based on the exponential dichotomy spectrum.
no code implementations • 30 Mar 2021 • Martin Steinberger, Martin Horn
A networked output feedback loop subject to packetized transmissions of the output signal is considered.
no code implementations • 23 Mar 2021 • Markus Tranninger, Richard Seeber, Juan G. Rueda-Escobedo, Martin Horn
This work presents a notion of strong detectability for linear time varying systems affected by unknown inputs.
no code implementations • 25 May 2020 • Richard Seeber, Hernan Haimovich, Martin Horn, Leonid Fridman, Hernán De Battista
A class of differentiators is proposed, which converge to the derivative of such a signal within a fixed, i. e., a finite and uniformly bounded convergence time.
no code implementations • 10 Jul 2019 • Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger
Therefore, there is considerable interest in learning such hybrid behavior by means of machine learning which requires sufficient and representative training data covering the behavior of the physical system adequately.
no code implementations • 25 May 2018 • Zlatan Ajanovic, Bakir Lacevic, Georg Stettinger, Daniel Watzenig, Martin Horn
This paper presents preliminary work on learning the search heuristic for the optimal motion planning for automated driving in urban traffic.
no code implementations • 11 Dec 2017 • Zlatan Ajanovic, Michael Stolz, Martin Horn
Although planning of an optimal trajectory is done in a systematic way, dynamic programming does not use any knowledge about the considered problem to guide the exploration and therefore explores all possible trajectories.