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

滑模变结构控制是一种非线性控制方法，对系统的参数变化和扰动具有安全的自适应性。

2·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，采用模糊变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，并能够很好地改善电力系统的小干扰稳定性。

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

利用正比于系统变量的周期脉冲扰动法对其混沌进行控制，得到较好的控制结果。

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

提出了一种带有解耦干扰补偿器的离散变结构控制方法。

5·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、强噪声和过程参数多变性，传统的控制方法难以奏效。

6·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.

并对相位突变和频率突变的情况进行了仿真研究，说明在相位和频率发生变动时三相锁相环仍能有效地锁定相位，能够满足系统变频的要求。

7·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：研究变量代换对非线性生物模型回归参数的干扰，寻找消除或减少该干扰的新方法。

8·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的滑模变结构控制，对控制函数切换并受滑动模态控制。

9·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.

该控制方案对NN学习的近似误差以及外部干扰有强的鲁棒性。