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它不仅能消除可测干扰的影响,而且可以应用到多变量系统实现自适应解耦控制。
It not only can cancel the effect of measurable disturbances but also can be applied to MIMO systems to realize adaptive decoupling control.
鉴于模糊神经网络具有良好的非线性特性、学习能力、自适应能力和抗干扰能力,本文将模糊神经网络技术引入到高速公路入口匝道控制中。
Due to the traits of nonlinear, capacity of study, adaptivity and anti-interference, neural-fuzzy network is suitable for the control of ramp metering.
系统运行结果表明,采用该算法提高了直流电机的控制精度、参数自适应性、抗干扰性。
The result shows that the control precision and parameter adaptability, anti-interference of DC motor is improved after using this arithmetic.
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