Intelligent Control Systems Video Members Publications

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Intelligent Control Systems
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Intelligent Control Systems
Autonomous Motion

Publications

Intelligent Control Systems Conference Paper Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks Mager, F., Baumann, D., Jacob, R., Thiele, L., Trimpe, S., Zimmerling, M. In Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 97-108, 10th ACM/IEEE International Conference on Cyber-Physical Systems, April 2019 (Published)
Closing feedback loops fast and over long distances is key to emerging applications; for example, robot motion control and swarm coordination require update intervals below 100 ms. Low-power wireless is preferred for its flexibility, low cost, and small form factor, especially if the devices support multi-hop communication. Thus far, however, closed-loop control over multi-hop low-power wireless has only been demonstrated for update intervals on the order of multiple seconds. This paper presents a wireless embedded system that tames imperfections impairing control performance such as jitter or packet loss, and a control design that exploits the essential properties of this system to provably guarantee closed-loop stability for linear dynamic systems. Using experiments on a testbed with multiple cart-pole systems, we are the first to demonstrate the feasibility and to assess the performance of closed-loop control and coordination over multi-hop low-power wireless for update intervals from 20 ms to 50 ms.
arXiv PDF DOI BibTeX

Intelligent Control Systems Autonomous Learning Conference Paper Deep Reinforcement Learning for Event-Triggered Control Baumann, D., Zhu, J., Martius, G., Trimpe, S. In Proceedings of the 57th IEEE International Conference on Decision and Control (CDC), 943-950, 57th IEEE International Conference on Decision and Control (CDC), December 2018 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Conference Paper Event-triggered Learning for Resource-efficient Networked Control Solowjow, F., Baumann, D., Garcke, J., Trimpe, S. In Proceedings of the American Control Conference (ACC), 6506 - 6512, American Control Conference, June 2018 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Conference Paper Evaluating Low-Power Wireless Cyber-Physical Systems Baumann, D., Mager, F., Singh, H., Zimmerling, M., Trimpe, S. In Proceedings of the IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench), 13-18, IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench), April 2018 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Poster Poster Abstract: Toward Fast Closed-loop Control over Multi-hop Low-power Wireless Networks Mager, F., Baumann, D., Trimpe, S., Zimmerling, M. Proceedings of the 17th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 158-159, Porto, Portugal, April 2018 (Published) DOI BibTeX

Autonomous Motion Intelligent Control Systems Article Event-based State Estimation: An Emulation-based Approach Trimpe, S. IET Control Theory & Applications, 11(11):1684-1693, July 2017 (Published)
An event-based state estimation approach for reducing communication in a networked control system is proposed. Multiple distributed sensor agents observe a dynamic process and sporadically transmit their measurements to estimator agents over a shared bus network. Local event-triggering protocols ensure that data is transmitted only when necessary to meet a desired estimation accuracy. The event-based design is shown to emulate the performance of a centralised state observer design up to guaranteed bounds, but with reduced communication. The stability results for state estimation are extended to the distributed control system that results when the local estimates are used for feedback control. Results from numerical simulations and hardware experiments illustrate the effectiveness of the proposed approach in reducing network communication.
arXiv Supplementary material PDF DOI BibTeX

Autonomous Motion Intelligent Control Systems Conference Paper Predictive and Self Triggering for Event-based State Estimation Trimpe, S. In Proceedings of the 55th IEEE Conference on Decision and Control (CDC), 3098-3105, Las Vegas, NV, USA, December 2016 (Published) arXiv PDF DOI BibTeX