Approximation of Nonlinear Dynamics of the Twin Rotor MIMO System Using Neural Network
This paper presents a hybrid residual-learning framework for approximation of Twin Rotor MIMO System (TRMS) dynamics using a neural-network-based nonlinear correction model combined with a nominal linear state-space representation. The proposed approach predicts the next system state by augmenting the analytical linear...