论文部分内容阅读
本文将神经元网络引入多模型同时镇定问题，给出了实现多模型同时镇定的神经网络控制器的设计方法，其特点是方法简练，且不受线性系统的限制．将该方法用于造纸过程定量水分控制系统模型，仿真结果说明了本文所给方法可以为这一不确定时变系统设计出良好的控制器．
In this paper, the neural network is introduced into the multi-model and the stabilization problem at the same time. The design method of the neural network controller for simultaneous multi-model stabilization is given. The method is concise and it is not limited by the linear system. The method is applied to the quantitative water control system model of papermaking process. The simulation results show that the proposed method can design a good controller for this uncertain time-varying system.