QFT can overcome the plant uncertainties and ensure the robust stability of system. Adaptive control is able to improve the control precision.
QFT能克服对象的不确定性，保障系统的鲁棒性，自适应控制可以提高系统的控制精度。
As an important branch in the field of intelligent control, fuzzy model based robust adaptive sliding-mode control for nonlinear systems has received more and more attention in recent years.
作为现代控制领域中的一个重要分支，基于模糊建模的非线性系统的鲁棒自适应变结构控制技术近年来受到了国内外控制界的广泛重视。
Modern PID control is a kind of new PID control which is introducing strategies of self adaptive control, optimal control, predicted control, robust control and intelligent control.
现代PID控制是将自适应控制、最优控制、预测控制、鲁棒控制和智能控制策略引入到传统PID控制中的一种新型PID控制。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
The computer simulation results show that the neural network supervisory control has more adaptive ability and robust than that of a PID controller, and the control precision is increased.
对压水堆功率控制过程进行了计算机仿真，仿真结果表明，与传统的PID控制相比，神经网络监督控制具有较强的自适应能力和鲁棒性，有效地提高了控制系统的精度。
Adopting Simple adaptive control (SAC) theory among other modern control theories, realized robust adaptive control absorbing automatically plant parameter changes and plant time-variant influences.
采用简单自适应控制(SAC)等现代控制理论的理论，实现了鲁棒自适应控制自动植物吸收参数变化和植物时变的影响。
Adopting Simple adaptive control (SAC) theory among other modern control theories, realized robust adaptive control absorbing automatically plant parameter changes and plant time-variant influences.
采用简单自适应控制(SAC)等现代控制理论的理论，实现了鲁棒自适应控制自动植物吸收参数变化和植物时变的影响。
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