该控制器以系统动态误差和给定信号量作为CMAC的激励信号，并与自适应线性神经元网络相结合构成系统的复合控制。
Combining it with the adaptive linear neuron network, the multiplex control strategy takes the dynamic errors and given signals of the system as input signals to the CMAC neural network.
在不同外力激励的条件下，应用该方法对一种金属橡胶隔振器隔振系统进行动态特性的理论分析。
For different excitation input, a series of experiments are explored to analyze the performance of MR isolation system by his method.
这一修正方法及修正公式可广泛应用于凡是用瞬态激励法(阶跃函数输入和斜坡函数输入)对压力传感器、力传感器以及其它各种传感器的动态和准静态标定中。
The correction methods and equations can be used for dynamic and quasi-static calibrations of pres - sure, force and other transducers in transient excited methods of step or ramp function inputs.
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