Without knowing the precise system model and parameters, the ANN inverse can decouple the controlled system into two SISO linear systems.
在系统精确模型参数未知的情况下,神经网络逆系统可将被控系统解耦成两个SISO线性子系统;
2
The results of test show that this inversemodel feed-forward compensator has effectively reduced the non-linear error of the system and has improved the control precision of GMA.
实验结果表明,逆模前馈补偿器有效地减小了系统的非线性误差,提高了执行器的控制精度。
3
The eight-point finite element is used for the discretization in the space system. The finite element model is given, facilitating to sensitivity analysis for non-linear direct and inverse problems.