Research on neural network control method with end point bias

Taking into account the existing neural network control method of large amount of calculation and application is not strong, in this paper, a complex neural network control structure is designed for the nonlinear and strong coupling system, which is coupled by the N sub neural network, at the same time, the paper proposes a neural network control method with end point bias. The method assigns different weights to each sub item of the mean variance objective function, so that the determination of neural network parameters is effectively biased towards the end point error value, so as to ensure the terminal stability of the system. Finally, the applicability of the proposed method is verified by a nonlinear strong coupling system with multiple inputs and multiple outputs, and the expected results are obtained.