Mixture Basis Function Approximation and Neural Network Embedding Control for Nonlinear Uncertain Systems with Disturbances
A neural network embedding learning control scheme is proposed in this paper, which addresses the performance optimization problem of a class of nonlinear system with unknown dynamics and Food Storage Container Sets disturbance by combining with a novel nonlinear function approximator and an improved disturbance observer (DOB).We investigated a mix