• 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耦合系统实现解耦控制效果令人满意。

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  • 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-神经网络控制技术实现了三容系统解耦液位控制。

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  • 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模型神经网络解耦控制器

    youdao

  • 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一种神经网络解耦控制方法

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  • 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神经网络解耦自适应模糊控制方法

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  • 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系统模型,可对PID控制器参数进行整实现变量解耦控制

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  • 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.

    在研究基于最小理论的多维力传感器静态线性方法的同时,提出了种基于BP神经网络的静态非线性解耦方法。

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  • 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系统控制问题,提出了基于神经网络简单自适应多变量解耦控制方法(NNMSAC)。

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  • A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.

    神经网络前馈解耦控制提出具有时变非线性不确定性多变量耦合发酵过程中

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  • A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.

    神经网络前馈解耦控制提出具有时变非线性不确定性多变量耦合发酵过程中

    youdao

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