72 citations · 322 across the 23 of their papers we have counts for
12 papers · 1 filter
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
Event-triggered communication and control provide high control performance in networked control systems without overloading the communication network. However, most approaches requ…
On the trade-off between event-based and periodic state estimation under bandwidth constraints
Dominik Baumann, Thomas B. Schön
Event-based methods carefully select when to transmit information to enable high-performance control and estimation over resource-constrained communication networks. However, they…
Towards remote fault detection by analyzing communication priorities
Alexander Gräfe, Dominik Baumann, Sebastian Trimpe
The ability to detect faults is an important safety feature for event-based multi-agent systems. In most existing algorithms, each agent tries to detect faults by checking its own…
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload
Fabian Mager, Dominik Baumann, Carsten Herrmann +2
An important class of cyber-physical systems relies on multiple agents that jointly perform a task by coordinating their actions over a wireless network. Examples include self-driv…
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges
Dominik Baumann, Fabian Mager, Ulf Wetzker +3
Smart manufacturing aims to overcome the limitations of today's rigid assembly lines by making the material flow and manufacturing process more flexible, versatile, and scalable. T…
Learning Event-triggered Control from Data through Joint Optimization
Niklas Funk, Dominik Baumann, Vincent Berenz +1
We present a framework for model-free learning of event-triggered control strategies. Event-triggered methods aim to achieve high control performance while only closing the feedbac…
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees
Dominik Baumann, Fabian Mager, Romain Jacob +3
Closing feedback loops fast and over long distances is key to emerging cyber-physical applications; for example, robot motion control and swarm coordination require update interval…
Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems
José Mario Mastrangelo, Dominik Baumann, Sebastian Trimpe
A predictive triggering (PT) framework for the distributed control of resource constrained multi-agent systems is proposed. By predicting future communication demands and deriving…
Control-guided Communication: Efficient Resource Arbitration and Allocation in Multi-hop Wireless Control Systems
Dominik Baumann, Fabian Mager, Marco Zimmerling +1
In future autonomous systems, wireless multi-hop communication is key to enable collaboration among distributed agents at low cost and high flexibility. When many agents need to tr…
Resource-aware IoT Control: Saving Communication through Predictive Triggering
Sebastian Trimpe, Dominik Baumann
The Internet of Things (IoT) interconnects multiple physical devices in large-scale networks. When the 'things' coordinate decisions and act collectively on shared information, fee…
Deep Reinforcement Learning for Event-Triggered Control
Dominik Baumann, Jia-Jie Zhu, Georg Martius +1
Event-triggered control (ETC) methods can achieve high-performance control with a significantly lower number of samples compared to usual, time-triggered methods. These frameworks…
Event-triggered Learning for Resource-efficient Networked Control
Friedrich Solowjow, Dominik Baumann, Jochen Garcke +1
Common event-triggered state estimation (ETSE) algorithms save communication in networked control systems by predicting agents' behavior, and transmitting updates only when the pre…