Long short term memory network is capable of capturing complex hysteretic dynamics in piezoelectric actuators

This Letter demonstrates the capability of long short term memory (LSTM) network in capturing the complex hysteretic dynamics in piezoelectric actuators (PEAs). A LSTM network is constructed to model the PEAs' complex dynamics, which includes static hysteresis, creep, high-order dynamics. The network is trained and evaluated by data sets of input-output pairs with different frequencies and amplitu...