The proposed controller combines the advantages of neural network and inverse system control, and can compensate the influence of uncertainty and nonlinearity.
该方法结合了神经网络和逆系统控制的优点，能够克服系统中的不确定性和非线性因素。
Based on the property of the system inverse model, an integral approach to nonlinear compensation of temperature measuring system with thermistor based on neural network is presented.
从系统逆模型补偿出发，基于神经网络提出一种更加完备的热敏电阻测温系统非线性校正方法。
Based on the new ANN (artificial neural network) inverse system control method, the AC variable frequency speed control system is analyzed and experimented.
本文运用神经网络逆系统这一新的控制策略，对异步电机变频调速系统进行可逆分析与控制试验。
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