630 citations · 696 across the 23 of their papers we have counts for
16 papers · 1 filter
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes
Armin Lederer, Mingmin Zhang, Samuel Tesfazgi +1
Safety-critical technical systems operating in unknown environments require the ability to quickly adapt their behavior, which can be achieved in control by inferring a model onlin…
Distributed Value of Information in Feedback Control over Multi-hop Networks
Precious Ugo Abara, Sandra Hirche
Recent works in the domain of networked control systems have demonstrated that the joint design of medium access control strategies and control strategies for the closed-loop syste…
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes
Thomas Beckers, Sandra Hirche, Leonardo Colombo
Formation control algorithms for multi-agent systems have gained much attention in the recent years due to the increasing amount of mobile and aerial robotic swarms. The design of…
Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes
Zewen Yang, Stefan Sosnowski, Qingchen Liu +3
In this paper, a distributed learning leader-follower consensus protocol based on Gaussian process regression for a class of nonlinear multi-agent systems with unknown dynamics is…
The Impact of Data on the Stability of Learning-Based Control- Extended Version
Armin Lederer, Alexandre Capone, Thomas Beckers +2
Despite the existence of formal guarantees for learning-based control approaches, the relationship between data and control performance is still poorly understood. In this paper, w…
Delay-sensitive Joint Optimal Control and Resource Management in Multi-loop Networked Control Systems
Mohammad H. Mamduhi, Dipankar Maity, Sandra Hirche +2
In the operation of networked control systems, where multiple processes share a resource-limited and time-varying cost-sensitive network, communication delay is inevitable and prim…