这部分讨论的非线性前馈系统包括一个具有可控输入的基准系统和一个前步结构，且系统里的这两部分都允许是非线性的和高阶的。
Use a new way to solve the Lyapunov function and controllers for a class of nonlinear systems, which involve a base system with a control input and a forwarding structure.
由SVM辨识非线性系统的逆模型作为前馈控制器，形成直接逆控制。
SVM were used to identify the inverse model of nonlinear system, and this inverse model was used as feed-forward controller to design direct inverse control.
提出一种对非线性系统用线性控制的方法，通过前馈控制器进行控制。
This paper presents a linearization control methods of nonlinear system, which is realized by feed forward controller.
为了进一步提高系统的动态性能，在非线性PI算法中加入了负载电流前馈补偿控制。
To improve further the dynamic characteristic, the non-linear PI arithmetic with the load-current forward compensating (LCFC) control is also improved.
前馈神经网已经被大量用于非线性信号处理。
The feedforward neural networks has been greatly used in the nonlinear signals processing.
实验结果表明，逆模前馈补偿器有效地减小了系统的非线性误差，提高了执行器的控制精度。
The results of test show that this inverse model feed-forward compensator has effectively reduced the non-linear error of the system and has improved the control precision of GMA.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
得到的最优控制律由解析的线性前馈-反馈项和伴随向量序列极限形式的非线性补偿项组成。
The obtained optimal control law consists of analytical linear feedforward and feedback terms and a nonlinear compensation term which is the limit of the adjoint vector sequence.
针对两种典型的非线性奇异摄动系统，文中分别给出了状态反馈校正法和状态前馈校正法。
For two typical nonlinear singularly perturbed systems, we give one state feedback corrected control and one state forefeed corrected control respectively.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
在分析过程非线性特性的基础上，采用基于过程模型的前馈抵消反应热对过程的非线性影响。
Based on the analysis of the nonlinearity of process, the model-based feed forward control method is adopted to contract the nonlinear disturbance of the reaction heat.
一个简单的三层BP前馈网络，采用简单的非线性转移函数，就可以以任意精度逼近任何非线性函数。
A simple three-layer BP network using simple nonlinear transfer functions can approximate any nonlinear functions with any precision.
在点状激光三维扫描技术中，用线阵CCD采集深度坐标，用前馈型人工神经网络对深度坐标进行非线性修正。
In 3d scanning system based on dot laser, artificial neural networks are used for calibrating the distortion of CCD range sensor.
在点状激光三维扫描技术中，用线阵CCD采集深度坐标，用前馈型人工神经网络对深度坐标进行非线性修正。
In 3d scanning system based on dot laser, artificial neural networks are used for calibrating the distortion of CCD range sensor.
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