Self-Organizing Neural Network Adaptive Method for Control Problems of Nonlinear Dynamic Systems
用于非线性动力系统控制问题的自组织神经网络自适应方法

In this paper a new self-organizing, learning and adaptive method to solve the control problems of nonlinear dynamic systems is proposed. In each small regions (receptive fields), a nonlinear system can be expressed as a linear one and controlled by neurons. The gazing points, receptive fields and control functions of each neurons are regulated in self-organizing learning and adapting way. Several computer simulation examples verify the correctness and feasibility of this method.