Abstract: Accurate parameter estimation is vital in instrumentation and measurement, especially for modeling dynamic systems based on measurement data. Recurrent networks have been widely adopted for ...
Abstract: This article presents a disturbance observer (DO)-based neural network (NN) control for a two-degree-of-freedom (2-DOF) helicopter system with input saturation, external disturbances, and ...
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