Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.
然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。
A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
Considering the atrocious load property when the rocket is launched, an adaptive position controller based on fuzzy neural network is designed.
针对多管火箭炮发射时恶劣的负载特性，设计了一种模糊神经网络自适应位置控制器。
Considering the atrocious load property when the rocket is launched, an adaptive position controller based on fuzzy neural network is designed.
针对多管火箭炮发射时恶劣的负载特性，设计了一种模糊神经网络自适应位置控制器。
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