国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

The complex structure of the multivariable model, the strong coupling, the unknown and slow time-varying parameters of the controlled object parameters require that the controller must have good adaptability. Aiming at the above problem, an improved generalized minimum variance closed-loop adaptive The decoupling controller achieves better adaptation by a parameter-adjustable controller and an adaptive control law that decouples the transfer function matrix of the closed-loop system equation by the desired diagonal matrix The improved identification algorithm can be used to identify the parameters of the on-line controller to achieve synchronous adaptive decoupling. By using CARMA as a multivariable control model, this method is used to solve the coupling between multivariable variables. The results show that the proposed method can adapt to the corresponding changes, the tracking performance is better, and the decoupling ability is good, and the stability of the closed - loop system is ensured, which proves that the method can improve the stability and robustness of the control system.