630 citations · 1.2k across the 74 of their papers we have counts for
9 papers · 1 filter
Feedback Linearization based on Gaussian Processes with event-triggered Online Learning
Jonas Umlauft, Sandra Hirche
Combining control engineering with nonparametric modeling techniques from machine learning allows to control systems without analytic description using data-driven models. Most exi…
Joint Cross-layer Optimization in Real-Time Networked Control Systems
Markus Klügel, Mohammad H. Mamduhi, Onur Ayan +4
Networked control system (NCS) refer to a set of control loops that are closed over a communication network. In this article, the joint operation of control and networking for NCS…
Decentralized LQ-Consistent Event-triggered Control over a Shared Contention-based Network
M. Balaghiinaloo, D. J. Antunes, M. H. Mamduhi +1
Consider a network of multiple independent stochastic linear systems where, for each system, a scheduler collocated with the sensors arbitrates data transmissions to a correspondin…
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization
Thomas Beckers, Somil Bansal, Claire J. Tomlin +1
Kernel-based nonparametric models have become very attractive for model-based control approaches for nonlinear systems. However, the selection of the kernel and its hyperparameters…
Transmission Power Control for Remote State Estimation in Industrial Wireless Sensor Networks
Samuele Zoppi, Touraj Soleymani, Markus Klügel +3
Novel low-power wireless technologies and IoT applications open the door to the Industrial Internet of Things (IIoT). In this new paradigm, Wireless Sensor Networks (WSNs) must ful…
Keep soft robots soft -- a data-driven based trade-off between feed-forward and feedback control
Thomas Beckers, Sandra Hirche
Tracking control for soft robots is challenging due to uncertainties in the system model and environment. Using high feedback gains to overcome this issue results in an increasing…