当解耦器训练结束后，对于非线性对象采用单神经元自适应PID来进行控制，仿真结果表明，此控制方案效果较好。
After the success in decoupling, single neural cell self-adapting PID is adopted to control nonlinear object. The simulation results show that the control strategy gets better effects.
提出了非线性空间飞行器系统采用滑动模态控制方法，它对强非线性的空间飞行器系统通道间交叉影响进行解耦。
A control method with sliding mode of nonlinear spacecraft system is provided in this paper, in which the interactive influences among channels of strong nonlinear spacecraft system are decoupled.
针对新型五自由度无轴承异步电动机这一多变量、非线性、强耦合的系统，采用逆系统的方法进行解耦控制。
A decoupling control approach based on inverse system has been used for the innovative five degree-of-freedom bearing less induction motor, which is multi-variable, nonlinear and high coupling.
用该非线性控制方法设计的飞行控制系统不仅能够实现动态解耦控制，获得良好的动态性能，而且对模型不够准确或系统内部参数发生变化具有较强的适应性。
Flight control system designed by this nonlinear control method can achieve decoupling control, and has better adaptability to inaccurateness of model and the change of system parameters.
对于具有纯延迟、惯性和由开关控制的非线性飞行器姿态系统，本文提出了采用解耦变结构控制的方法。
For nonlinear attitude system of flying vehicle with pure time-delay, inertia and bang-bang control a control method using decoupling variable structure is given.
本文采用非线性系统的微分几何方法实现交流异步电动机的解耦控制和完全线性化，为交流传动系统提出了一种新的控制方法。
Using the method of Differential Geometry, the decoupling control and complete linearization of the induction motor are realized, so a new control method for AC drive system is obtained.
它既可以克服模型工作点变化所带来的非线性问题，同时又可以保证控制回路间的有效解耦。
It can overcome the nonlinear characteristics aroused by the change of model working point, and can also guarantee the decouple performance between the control loops.
针对多变量非线性离散时间系统设计多模型神经网络解耦控制器。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
针对新型五自由度无轴承异步电动机这一多变量、非线性、强耦合的系统，采用逆系统的方法进行解耦控制。
A decoupling control approach based on inverse system has been used for the innovative five degree-of-freedom bearingless induction motor, which is multi-variable, nonlinear and high coupling.
考虑非线性开环控制解耦问题。
This paper deals with the open loop decoupling problem of nonlinear systems.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
对异步电动机的矢量控制和基于微分几何理论的非线性多输入多输出状态反馈两种解耦控制方案作理论和试验比较研究。
A comparative study of two decoupling control methods based on vector control and nonlinear multi-input-multi-output state-feedback based on theory of differential geometry is researched.
系统易于实现，融解耦器与控制器于一体，适用于非线性多变量系统的解耦控制。
The system which inosculates the decoupling and controller, is easy to implement and applicable for multivariate decoupling control.
文中给出了非线性时滞系统得以解耦的非线性状态反馈控制律；此状态控制律不但可以实现输出与时滞状态变量的解耦，还可以实现输出与输入间的精确线性化。
The sufficient conditions that enable the system to be decoupled are discussed, and the input-output linearization conditions with the canonical form of this nonlinear time-delay system are presented.
讨论了薄膜厚度控制的非线性和耦合性，应用神经网络串行解耦算法，解决多变量非线性耦合问题，同时还采用了改进的学习算法———动量法，并与传统算法做了仿真比较。
Discusses the nonelinearity and coupling of the plastics thickness control system, and adopts NN serial decoupling algorithm to solve the difficulty in multivariable nonlinear coupling.
本文主要针对非线性算子及耦合均在输入端的一类非线性多变量系统，研究如何采用神经网络实现其在线解耦控制。
Based on the class of nonlinear multi-variable system with the nonlinear operator and couple appearing in the input of system, the online decoupling control with NN is studied in this thesis.
本文主要针对非线性算子及耦合均在输入端的一类非线性多变量系统，研究如何采用神经网络实现其在线解耦控制。
Based on the class of nonlinear multi-variable system with the nonlinear operator and couple appearing in the input of system, the online decoupling control with NN is studied in this thesis.
应用推荐