Simulating results prove that neural network decoupling control is satisfactory in the system with uncertain parameters.
实验结果表明，神经网络可以使对象不确定的耦合系统实现解耦控制，效果令人满意。
The decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.
本文采用模糊-神经网络解耦控制技术实现了对三容系统的解耦及液位控制。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
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。
According to the running features of supercritical once-through boiler, the article proposes a neural network decoupling control method.
本文针对超临界直流锅炉运行特性，提出了一种神经网络解耦控制方法。
This thesis propose an adaptive fuzzy control method based on BP neural network decoupling for typical thermodynamic processes and study the control system.
本文将针对这一热工过程，提出基于BP神经网络解耦的自适应模糊控制方法。
This decoupling of the requester and the provider creates a degree of independence between the two, from both a message format perspective and from a network protocol perspective.
请求者与提供者的这个分离带来了二者之间一定的独立性，从消息格式和网络协议的角度均是如此。
A fuzzy decoupling algorithm based on system characteristic parameters and an expert system of BP network based on repetitive verification are established.
提出基于系统特征参数提取的模糊解耦算法，以BP网络构成基于重复检验的专家系统。
By using the power element models established on symmetrical component decoupling - compensation theory, a network model with algorithm suitable for harmonic flow calculation is developed.
利用建立在对称分量解耦-补偿理论基础上的电力元件模型，提出了适用于谐波潮流计算的网络模型和算法。
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
The least square theory-based static linear decoupling method is studied, and a new static decoupling method based on BP artificial neural network is proposed.
在研究基于最小二乘理论的多维力传感器静态线性解耦方法的同时，提出了一种基于BP神经网络的静态非线性解耦方法。
A neural network multivariable simple adaptive control (NNMSAC) is proposed, disposing of decoupling control with looper system in hot strip mill.
针对现代带钢热连轧中活套系统的解耦控制问题，提出了基于神经网络简单自适应多变量解耦控制方法(NNMSAC)。
A quite equivalent decoupling method based on branch node for fault location in distribution network is presented.
提出了一种按分支节点完全等效解耦的配电网故障定位新方法。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
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.
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。
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