Output Feedback Control for Deterministic Unknown Dynamics Discrete-Time System Using Deep Recurrent Q-Networks

Output Feedback Control for Deterministic Unknown Dynamics Discrete-Time System Using Deep Recurrent Q-Networks

The current application of control theory is commonly carried out in systems with a model or known system dynamics. However, in practice this is a formidable task to achieve as not all state information can be known. The use of the Output Feedback (OPFB) scheme in the field of control systems also p...

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Bibliographic Details
Main Authors: Adi Novitarini Putri, Egi Hidayat, Dimitri Mahayana, Carmadi Machbub
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
output feedback
q-learning
deep recurrent q-network
LSTM
Online Access:https://ieeexplore.ieee.org/document/10356050/

Internet

https://ieeexplore.ieee.org/document/10356050/

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