Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.
运用非线性控制的逆系统方法，提出了一种基于神经网络的人工肌非线性控制方案。
This paper presents an architecture of adaptive PID control using artificial neural networks.
本文提出了一种采用人工神经网络的自适应PID控制结构。
A discussion is devoted to the intelligence control method combining expert system with artificial neural networks. This method had been applied to the design of helicopter flight control system.
讨论了专家系统与人工神经网络相结合的一种控制方法，并将这种方法成功地用于直升机飞行控制系统设计。
The artificial neural networks is introduced to solve the problem that precision of conventional control is weak in the papermaking industry.
针对造纸工业传统控制中存在精确度低的问题，提出了利用人工神经网络进行预测控制的方法。
Aiming at the low control accuracy of 6-dof parallel platform, a dynamical fuzzy neural network (DFNN) was proposed to control the parallel platform which had advantages of artificial neural networks.
针对六自由度并联平台运动控制精度不高的缺点，结合人工神经网络的优点，提出了一种动态模糊神经网络(DFNN)控制器来控制并联平台。
The study of nonlinear predictive control based on artificial neural networks is carried out.
研究了基于人工神经元网络模型的非线性预测控制。
It shows that artificial neural networks shift control system can realize correct gear box control according to operation work situation and it is an effective...
表明人工神经网络档位控制系统可根据操作工况实现正确的变速箱档位控制，使自动变速系统具有了智能化特征，是一种有效的档位控制方法。
It shows that artificial neural networks shift control system can realize correct gear box control according to operation work situation and it is an effective...
表明人工神经网络档位控制系统可根据操作工况实现正确的变速箱档位控制，使自动变速系统具有了智能化特征，是一种有效的档位控制方法。
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