神经网络自适应控制的研究进展及展望

关于人工神经网络与自适应结合的研究，近年来已成为智能控制学科的热点之一。自适应具有强鲁棒性，神经网络则具有自学习功能和良好的容错能力，神经网络自适应控制由于较好地结合了二者的优点而具有强大的优势。本文系统地综述了神经网络自适应控制的进展，讨论了神经网络自适应的主要模型和算法，并就其存在的一些问题、应用与发展趋势进行了探讨。

The advancement of vista of a neural network adaptive control

Research on an artificial neural network combined with adaptive control has become one of the hotspots for intelligent control.The adaptive control has high robustness while the neural network has a self lerning function and fault tolerance ability.As the neural network incorporates the said advantages,it has powerful superiority in process control.This paper overviews systematically the advancement of neural network adaptive control,discusses its main model and algorithm,and also probes into its existing questions,applications and developing trend.