摘要
将非线性系统的线性化方法与神经网络在线辨识技术相结合 ,提出了一种基于神经网络的非线性自适应控制策略 .提出的控制策略 ,对带有未知反应参数的连续发酵过程 ,取得了良好的控制性能 .仿真实验表明 ,提出的自适应控制方法能够适应过程模型的不确定性 ,具有较强的鲁棒性 .
An adaptive non linear controller for the fermentation processes with unknown reaction parameters is proposed, in which the linearity method of the non linear systems is combined with the on line identifying technology of the neural networks. When adequate prior information concerning the dynamic parameters of the fermentation processes is not available, the neural network based adaptive controller may prove more effective than the linearity method of the non linear system. It results in strong robust.
关键词
自适应控制
非线性系统
神经网络
连续发酵
Adaptive control
Non linear systems
Neural networks
Continuous fermentation
