在主动控制技术中，自适应前馈控制方法是最常用的方法。
Among active control techniques, adaptive feed-forward control technique is popular.
针对自适应前馈控制方法的缺点，提出一种周期性振动主动控制的自适应反馈控制方法。
As the adaptive feedforward control method used for active control of periodic vibration has many shortcomings, an adaptive feedback control method was proposed based on on-line frequency estimation.
因此本文根据机器人动力学模型的性质设计了一种利用机器人工作空间理想轨迹控制的自适应前馈控制方法，并对自适应控制下系统的稳定性进行了分析。
So an adaptive feed forward control method is proposed, this method basing on robot dynamics adopts ideal trajectory on workspace to control robot, its stability is analyzed.
利用基于滤波X最小均方值算法的前馈型自适应控制系统，对汽车座椅振动实施主动控制，以改善座椅的动态舒适性。
An adaptive controller which contains a filtered-x least mean squares algorithm(FXLMS) was applied to complete the active vibration control of a vehicle seat.
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.
介绍了宝钢分公司钢管厂在无缝钢管张减过程壁厚控制中实现的前馈自适应控制技术。
The adaptive feedforward control technology, which is implemented in the stretch reducing process of seamless pipe wall thickness at Baosteel Tubing Plant, is introduced.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
研究表明，采用前馈和反馈技术的有源噪声控制分别与控制理论中的干扰可测和干扰不可测的自适应控制相对应。
The research shows that the active noise controls adopted feedforward technology or feedback technology is correspond to adaptive control with measurable noise or immeasurable noise.
试验研究结果表明，前馈自适应控制是实现变量泵源阀控系统高精度跟踪控制的有效方法。
The tests results show that the controller is the effective control method for the variable pump & valve controlled system.
依据在线得到的特征模型参数，实现跟踪前馈控制律与黄金分割自适应反馈控制律相结合的控制器参数的在线调整。
With those identified parameters the tracking controller which consists of the forward tracking law and the golden-section adaptive feedback law is adaptively tuned.
针对多模型控制方法中模型数目巨大，计算时间长等问题，提出了分层递阶结构多模型自适应前馈解耦控制器。
To solve such problem as too many models and long computing time, a hierarchical multiple model adaptive decoupling controller is designed.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
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