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自适应神经元控制系统的理论分析
引用本文:王宁,涂健,陈锦江.自适应神经元控制系统的理论分析[J].华中科技大学学报(自然科学版),1993(4).
作者姓名:王宁  涂健  陈锦江
作者单位:浙江大学 (王宁),华中理工大学自动控制工程系 (涂健),华中理工大学自动控制工程系(陈锦江)
摘    要:对自适应神经元控制系统进行了研究,得出了关于系统的控制作用、稳定性定理的理论结果,为这种新颖的控制系统的工程应用以及神经元控制器件的研制提供了理论依据.

关 键 词:智能控制  自适应神经元  神经元控制系统  控制作用  稳定性

A Theoretical Analysis of an Adaptive Neuron Control System
Wang Ning Tu Jian Chen Jinjiang.A Theoretical Analysis of an Adaptive Neuron Control System[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1993(4).
Authors:Wang Ning Tu Jian Chen Jinjiang
Institution:Wang Ning Tu Jian Chen Jinjiang
Abstract:The control function and stability of an adaptive neuron control system are studied. The results show that a system structure with neuron control consists in that the control signal produced by the neuron is composed of the feedforward proportional control, feedback proportional control and feedback differential control. The neuron control is a multilayered and multimodal control structure with the feedback control and feedforward control, open loop control and closed loop control integrated into a single whole. They are mutually associative and compensative. The theorem and corollary of stability of neuron control systems are given. By the very simple algorithm proposed for the neuron controller, quick adjustment and tracking can be realized without any overshooting for a complicated and changeable but stable controlled object. No integral function is needed to eliminate the static error. With very good adaptivity and robustness, the neuron control system may also be useful for certain unstable objects.
Keywords:intelligent control  adaptive neuron  neuron control systems  control functions  stability
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