RL agent learns optimal excitation signals for Quanser Aero 2 parameter identification, achieving competitive accuracy on three parameters with 0.75% safety violations and outperforming classical baselines.
IEEE Transactions on Industrial Informatics 19(11), 11160--11170 (Nov 2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems
RL agent learns optimal excitation signals for Quanser Aero 2 parameter identification, achieving competitive accuracy on three parameters with 0.75% safety violations and outperforming classical baselines.