Search Results for author: Frank Aurzada

Found 3 papers, 0 papers with code

The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metrics

no code implementations3 Jan 2024 Wanja de Sombre, Andrea Ortiz, Frank Aurzada, Anja Klein

The second strategy uses an enhanced Q-learning approach and balances the age-based metric, the transmission energy and the frequency of risky states without requiring knowledge about the system.

Q-Learning

Time- versus event-triggered consensus of a single-integrator multi-agent system

no code implementations20 Mar 2023 David Meister, Frank Aurzada, Mikhail A. Lifshits, Frank Allgöwer

We thereby provide an illustrative distributed problem setup in which event-triggered control results in a performance disadvantage when compared to time-triggered control in the case of large networks.

Analysis of Time- versus Event-Triggered Consensus for a Single-Integrator Multi-Agent System

no code implementations17 Jun 2022 David Meister, Frank Aurzada, Mikhail A. Lifshits, Frank Allgöwer

Contrary to the non-cooperative setting, we prove that event-triggered control performs worse than time-triggered control beyond a certain number of agents in this setup.

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