研究了航空发动机的非线性自适应逆控制方案。
Adaptive inverse control structure for nonlinear systems is applied for aeroengine control systems.
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。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
针对非线性系统，提出一种基于单步预测的模型参考自适应逆控制方案。
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
把非线性逆系统原理和单神经元自适应PID控制相结合，设计出一种新的非线性输出跟踪控制器。
A new nonlinear output tacking controller has been designed in this paper, which combined the nonlinear stability inversion system theory with the single-neuron adaptation PID controller.
根据反馈线性化理论，讨论了神经网络自适应非线性动态逆控制设计。
A discussion is devoted to the design of a self adaptive and nonlinear dynamic neural network inversion controller according to the feedback linearization theory.
无论对于线性的还是非线性的对象，自适应逆控制都是一种简单而有效的控制方法。
Adaptive inverse control is a very simple and highly effective way for controlling linear or nonlinear control systems.
对一种非线性时变系统提出了基于神经网络的自适应逆控制方案。
An adaptive inverse control scheme was proposed for a kind of time-varying nonlinear systems.
对一种非线性时变系统提出了基于神经网络的自适应逆控制方案。
An adaptive inverse control scheme was proposed for a kind of time-varying nonlinear systems.
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