SVM based inverse model of nonlinear system is used as feed-forward controller to form direct inverse model controller.
由SVM辨识的逆模型作为前馈控制器，形成直接逆模型控制器。
A filter bank is adopted to compose the approximate inverse system, which is the feed-forward controller in the composite control strategy.
在控制器实现中，提出了以滤波器组构建近似逆系统的方法。
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.
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。
Zero phase error tracking controller was served as the feed-forward controller to improve the fast tracking performance of the system, thus exactly tracking of the system was implemented.
零相位误差跟踪控制器作为前馈跟踪控制器，提高了快速性，使系统实现准确跟踪。
The structure of this control method can be considered as the combination of a feed forward type computation moment controller and a WFN model compensator.
这种控制方法的结构可以被认为是一个前馈型计算转矩控制器和一个WFN模型补偿器的结合。
This paper presents a linearization control methods of nonlinear system, which is realized by feed forward controller.
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。
The inverter system adopts digital fuzzy controller with feed forward correction and which proportion coefficient and integral coefficient is changeable, so dynamic response is improved.
逆变系统采用带前馈校正的变比例变积分系数的模糊控制器，提高了系统的动态响应指标；
The controller formed by this control logic consists of both the feed-forward of the reference model system states and the feedback of the controlled plant states.
该控制方案所形成的控制器由参考模型系统状态的前馈和被控系统的状态反馈两部分组成。
By PD controller which is used to make system more stable, the system can reach ideal control effects with the feed forward neural learning controller.
PD反馈控制器用于使系统达到稳定，同时和前馈的神经网络学习控制器一起使系统达到理想的控制效果。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
Based on the analyses of a lot of coupling phenomenons, a kind of fuzzy feed-forward decoupling controller based on FPGA is designed in this paper.
本文在分析了大量常见耦合现象的基础上，设计了一种基于FPGA的模糊前馈解耦控制器。
Basing on the optimal control theory, the DYC controller is designed by the feed forward of the sideslip Angle regulation and the state feedback of both yaw rate and sideslip Angle.
基于最优控制理论，设计横摆力矩控制器，通过前馈控制调整侧偏角，状态反馈控制调整横摆角速度和侧偏角。
A new slide mode controller is designed for AC servo system. The feed forward signal is used as average control, and fuzzy inference is used to regulate the magnitude of on-off control.
针对交流伺服系统的位置控制，设计出一种新型滑模控制器，以前馈信号作为平均控制，采用模糊推理来调节开关控制的幅度。
The CMAC controller realizes feed forward control and guarantees the control precision and response speed.
利用CMAC神经网络控制器实现前馈控制，保证系统的控制精度和响应速度。
The other is a feed-forward model, which is deduced according to heat balance of supply and consumption, combined with PID controller used for corresponding annealing stage.
另一方面，针对不同的退火阶段，分别从热平衡方程进行分析，进而设计了以热平衡方程为核心的前馈模型，结合PID算法有效提高了温度控制的精度。
The other is a feed-forward model, which is deduced according to heat balance of supply and consumption, combined with PID controller used for corresponding annealing stage.
另一方面，针对不同的退火阶段，分别从热平衡方程进行分析，进而设计了以热平衡方程为核心的前馈模型，结合PID算法有效提高了温度控制的精度。
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