Safe reward‐based deep reinforcement learning control for an electro‐hydraulic servo system
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Publication:6069295
DOI10.1002/rnc.6235zbMath1528.93084MaRDI QIDQ6069295
Lijun Liu, Zhen Yu, Unnamed Author, Unnamed Author
Publication date: 16 December 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
control barrier functionconstrained controlelectro-hydraulic servo systemdeep reinforcement learningsafe reward shaping
Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Application models in control theory (93C95)
Cites Work
- Barrier certificates revisited
- Reinforcement learning endowed with safe veto policies to learn the control of linked-multicomponent robotic systems
- Converse Barrier Certificate Theorems
- Control Barrier Function Based Quadratic Programs for Safety Critical Systems
- Safe reinforcement learning for dynamical games
- Sequential Decision Making With Coherent Risk
- Safe reinforcement learning: A control barrier function optimization approach
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