Blar i Institutt for teknisk kybernetikk på tidsskrift "Procedia Computer Science"
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RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems
(Peer reviewed; Journal article, 2022)A key driver to offering smart services is an infrastructure of Cyber-Physical systems (CPS)s. By definition, CPSs are intertwined physical and computational components that integrate physical behaviour with computation. ... -
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments
(Peer reviewed; Journal article, 2021)Autonomous cyber-physical systems, CPS, in dynamic environments must work impeccably. The cyber-physical systems must handle tasks consistently and trustworthily, i.e., with a robust behavior. Robust systems, in general, ... -
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review
(Peer reviewed; Journal article, 2021)Real-world autonomous systems are often controlled using conventional model-based control methods. But if accurate models of a system are not available, these methods may be unsuitable. For many safety-critical systems, ...