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。
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。
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。
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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