【作者】 曹建云；

【Author】 Cao Jianyun (Nantong Institute of Technology, Nantong 226007,China)

【机构】 南通工学院自动化系；

【摘要】 本文以两输入两输出的倒立摆系统为对象研究了多变量非线性系统的神经网络内模控制。采用RBF神经网络逼近系统的α阶逆系统,以之与原系统组合,使其解耦线性化以后再采用内模控制。最后的仿真结果表明这种方法具有较好的控制效果。更多还原

【Abstract】 In this paper, by study of the multivariable nonlinear inverted-pendulum system, a neural network internal model control scheme is proposed. By adoption of the RBF neural network, which approximates the inverse model of the system, the inverse system can be integrated with the original system, so that the latter can be decoupled and internal model control scheme may be used. In the end, simulations may prove the favorable effect of the approach.更多还原