Integrating attention-based GRU with event-driven NMPC to enhance tracking performance of robotic manipulator under actuator failure
Achieving precise real-time trajectory control for high degree-of-freedom (DoF) robotic
manipulators is challenging due to system uncertainties and exogenous disturbances, such …
manipulators is challenging due to system uncertainties and exogenous disturbances, such …
Effects of input gradient regularization on neural networks time-series forecasting of thermal power systems
This study proposes using neural networks, specifically gated recurrent unit (GRU), long-
short-term memory (LSTM), and transformer networks, to improve control strategies in a 450 …
short-term memory (LSTM), and transformer networks, to improve control strategies in a 450 …