Online Incremental Dynamic Modeling Using Physics-Informed Long Short-Term Memory Networks for the Pneumatic Artificial Muscle
The pneumatic artificial muscle (PAM) is widely applied in various scenarios due to their compliance and high-efficiency characteristics. However, the online modeling method which can accommodate online data remains an unresolved issue when data cannot be obtained off-line. This letter proposes an o