This paper presents a class adaptive pole assignment control of servo systems based on neuralstate estimation and develops the system structure and the weight learning algorithms.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
2
Mirror neurons are likely the neural correlate of this mechanism. By means of a shared neuralstate realized in two different bodies, the 'objectual other' becomes 'subjectual self'.
当前的研究发现镜像神经元很有可能是赋予我们这种具身模仿能力的神经机制。
3
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.