Publication
Compressor Surge Control Using Lyapunov Neural Networks
https://www.sintef.no/en/publications/publication/?pubid=1854273
Signe Moe
Research Scientist
Signe Moe
Research Scientist
Phone:
+47 975 12 125
Email:
Unit:
SINTEF Digital
Department:
Mathematics and Cybernetics
Office:
Oslo
Publications and responsibilities
Publication
Set-based collision avoidance applications to robotic systems
https://www.sintef.no/en/publications/publication/?pubid=1854267
Publication
Linear Antisymmetric Recurrent Neural Networks
https://www.sintef.no/en/publications/publication/?pubid=1854257
Publication
Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots
https://www.sintef.no/en/publications/publication/?pubid=1715345
Publication
Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization
https://www.sintef.no/en/publications/publication/?pubid=1751318
Publication
Deep Reinforcement Learning for Path Following and Collision Avoidance
https://www.sintef.no/en/publications/publication/?pubid=1776084
Publication
NEURAL NETWORK TO ANALYZE WASTEWATER TREATMENT PLANT WITH CEPT
https://www.sintef.no/en/publications/publication/?pubid=1715359
Publication
Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization
https://www.sintef.no/en/publications/publication/?pubid=1697120
Publication
Kan maskinlæring bidra til forbedret styring og drift av avløpsrenseanlegg?
https://www.sintef.no/en/publications/publication/?pubid=1704572
Publication
Machine Learning in Control Systems An Overview of state of the art
https://www.sintef.no/en/publications/publication/?pubid=1645962
Control systems are in general based on the same structure, building blocks and physics-based models of the dynamic system regardless of application, and can be mathematically analyzed w.r.t. stability, robustness and so on given certain assumptions. Machine learning methods (ML), on the other hand...