Intelligent Control Systems Conference Paper Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty Soloperto, R., Müller, M. A., Trimpe, S., Allgöwer, F. In Proceedings of the IFAC Conference on Nonlinear Model Predictive Control (NMPC), Madison, Wisconsin, USA, 6th IFAC Conference on Nonlinear Model Predictive Control, August 2018 (Published) PDF BibTeX

Intelligent Control Systems Article Learning an Approximate Model Predictive Controller with Guarantees Hertneck, M., Koehler, J., Trimpe, S., Allgöwer, F. IEEE Control Systems Letters, 2(3):543-548, July 2018 (Published) arXiv PDF DOI BibTeX

Autonomous Motion Intelligent Control Systems Conference Paper Probabilistic Recurrent State-Space Models Doerr, A., Daniel, C., Schiegg, M., Nguyen-Tuong, D., Schaal, S., Toussaint, M., Trimpe, S. In Proceedings of the International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), July 2018 (Published) arXiv pdf 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 Learning and Dynamical Systems Article Distributed Event-Based State Estimation for Networked Systems: An LMI Approach Muehlebach, M., Trimpe, S. IEEE Transactions on Automatic Control, 63(1):269-276, January 2018 (Published) arXiv (extended version) DOI BibTeX

Autonomous Motion Probabilistic Numerics Intelligent Control Systems Conference Paper On the Design of LQR Kernels for Efficient Controller Learning Marco, A., Hennig, P., Schaal, S., Trimpe, S. Proceedings of the 56th IEEE Annual Conference on Decision and Control (CDC), 5193-5200, IEEE, IEEE Conference on Decision and Control, December 2017 (Published) arXiv PDF On the Design of LQR Kernels for Efficient Controller Learning - CDC presentation DOI BibTeX

Autonomous Motion Intelligent Control Systems Conference Paper Optimizing Long-term Predictions for Model-based Policy Search Doerr, A., Daniel, C., Nguyen-Tuong, D., Marco, A., Schaal, S., Toussaint, M., Trimpe, S. Proceedings of 1st Annual Conference on Robot Learning (CoRL), 78:227-238, (Editors: Sergey Levine and Vincent Vanhoucke and Ken Goldberg), 1st Annual Conference on Robot Learning, November 2017 (Published) PDF 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) arXiv Supplementary material PDF DOI BibTeX