Neural network PID adaptive control scheme was used to enhance the performance of piezoelectric phase shifter by improving the nonlinear performance and depressing the interference of environment.
采用了神经网络PID自适应控制方法，改善了非线性，降低了环境干扰的影响，提高了压电式 移相器的性能。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
To improve robustness of control system, the paper analyses the influence of nonlinear factors and introduces the neural network PID auto adaptive control to reduce the influence.
为了增强系统的鲁棒性，论文在分析非线性因素对系统的影响后，利用神经pid自适应控制实现了对这些因素的有效抑制。
Complicated nonlinear systems such as aircraft engines. PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants.
对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。
Complicated nonlinear systems such as aircraft engines. PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants.
对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。
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