本论文对人工神经网络理论及其在空间机器人系统控制中的应用作了研究。
The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
并举例说明了非线性控制理论、神经元网络控制理论、模糊控制理论在直接转矩控制技术中的应用。
For example, the non-linearity theory, nerve network control theory, fuzzy control theory are applied in the direct torque control theory.
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