• Sliding mode variable structure (SMVS) is a nonlinear control method, which is adaptive to disturbance and parameter variations.

    滑模结构控制一种非线性控制方法系统的参数变化扰动具有安全的自适应性

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  • Computer simulation shows that the control of fuzzy variable structure can increase the robustness, solve the problem of shiver at high frequency, and improve the stability of small disturbance.

    计算机仿真结果表明采用模糊结构附加励磁控制方法可以提高鲁棒性解决高频抖动问题能够很好地改善电力系统干扰稳定性

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  • Good controlling results are gotten by using periodic pulses disturbance method proportioned with system variable to control the chaos.

    利用正比系统变量周期脉冲扰动混沌进行控制得到较好的控制结果

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  • The paper proposes a discrete-time variable controller with a decoupled disturbance compensator.

    提出一种带有解耦干扰补偿器离散结构控制方法

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  • In process of continuous induction heat treatment, there are heavy electromagnetic disturbance, nonlinearity. heavy noise and variable parameters. The existed methods of control are difficult.

    连续感应热处理过程存在着强电磁场干扰、非线性、强噪声过程参数多变性,传统控制方法难以奏效。

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  • The simulation results prove that the three-phase phase-locked loop can work well in disturbance situation and variable frequency system when the frequency of the inputs is variable.

    相位突变频率突变情况进行了仿真研究,说明相位和频率发生变动三相锁相环仍有效地锁定相位,能够满足系统变频的要求。

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  • Objective: To study the disturbance creatd by the variable transformation within regression parameters of nonlinear biology models and find a new method removing or reducing the disturbance.

    目的研究变量代换非线性生物模型回归参数干扰寻找消除减少干扰的方法

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  • Owing to applying the model of sliding mode variable-structure control that has compensation of disturbance monitor, switching control function was controlled by sliding mode.

    模型用带扰动观测器补偿滑模变结构控制,对控制函数切换滑动模态控制。

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  • The influence of both NN approximation error and external disturbance can be attenuated to a desired level of a weight to control variable is appropriatly chosen.

    控制方案对NN学习近似误差以及外部干扰强的鲁性。

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  • The influence of both NN approximation error and external disturbance can be attenuated to a desired level of a weight to control variable is appropriatly chosen.

    控制方案对NN学习近似误差以及外部干扰强的鲁性。

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