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基于神经网络内模的非线性控制系统
Nonlinear Control Systems Based on NN Internal Model
【摘要】 从某类可以被多层 BP神经网络建模的非线性系统出发 ,给出一种控制方法 .PID控制器和 IMC控制相结合 .仿真结果表明 BP网络用作IMC控制器的有效性 .此类方法比传统的控制器有更快更好的跟踪性能
【Abstract】 In this article, the authors introduce a method of controlling certain types of nonlinear dynamical systems whose dynamics can be modelled by a multilayer BP neural network. A PID controller is added to improve the IMC controller .Simulation results demonstrate that the efficiency of BP network is like an IMC method. The controller is of the faster and better tracking performance than that of the conventional controller.
【关键词】 非线性系统;
内模控制器;
BP神经网络;
系统可逆性;
【Key words】 nonlinear systems; IMC; heural network; system invertibility;
【Key words】 nonlinear systems; IMC; heural network; system invertibility;
- 【文献出处】 沈阳工业学院学报 ,Journal of Shenyang Institute of Techndogy , 编辑部邮箱 ,2002年01期
- 【分类号】TP183
- 【被引频次】3
- 【下载频次】107