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adaptive inversion
相关语句
  自适应逆
     Brushless DC Motor's Neural Network Model Reference Adaptive Inversion Control
     无刷直流电动机的神经网络模型参考自适应逆控制
短句来源
     A method of neural network adaptive inversion control for nonlinear systems is proposed.
     提出了非线性系统的神经网络自适应逆控制方法。
短句来源
     Neural Network Adaptive Inversion Control for Nonlinear Systems
     非线性系统的神经网络自适应逆控制
短句来源
     Simulation results of a nonlinear system indicate that neural network adaptive inversion control can improve system dynamic property and has better robustnees.
     对一非线性系统的仿真结果表明 ,神经网络自适应逆控制能够提高系统的动态性能 ,并且具有较好的鲁棒性。
短句来源
     A New Flight Control Law Using Adaptive Inversion Control Based on Neural Network
     一种新的神经网络自适应逆飞行控制
短句来源
更多       
  “adaptive inversion”译为未确定词的双语例句
     Design of unmanned helicopter command controller based on adaptive inversion
     基于自适应逆的无人直升机指令控制器设计
短句来源
     The trust region technique is introduced to construct iterate formula so that regularization parameter can be chosen adaptively and mono-scale adaptive inversion methods are derived.
     为了放宽对解的初始猜测的限制,克服反问题中众多局部极小的问题,保证算法的收敛性,本文在简要介绍同伦方法的思想后,将同伦方法引入到单尺度自适应反演方法中,形成了大范围收敛的单尺度自适应反演算法。
短句来源
     it was simulated in simulink finally,and the result showed that neural networks and adaptive inversion control can track the desired inputs perfectly.
     最后通过simulink建模对控制系统进行了仿真,验证了此控制系统能很好地跟踪输入,并且能抑制大范围的外部扰动。
短句来源
  相似匹配句对
     Adaptive unrestricted inversion of reflection coefficients
     自适应反射系数无约束反演技术
短句来源
     An adaptive regularized inversion algorithm for magnetotelluric data
     大地电磁自适应正则化反演算法
短句来源
     Adaptive Measurement
     自适应测量
短句来源
     Adaptive Correlator
     自适应相关器
短句来源
     On Inversion and Emphasis
     谈英语的倒装与强调
短句来源
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  adaptive inversion
Section 3 provides a description of the proposed algorithm with a new adaptive inversion operator.
      


A new inversion method of artficial neural network is presented for the purpose of simplification and more general application for the inversion method in transient electromagnetic exploration. On the basis of back propagation(BP) algorithm, an adaptive inversion system of artificial neural network had been designed and developed. The system avoids complicated calculations of electromagnetic field and can be used to solve some practical problems through learning and training.It can also memorize and make...

A new inversion method of artficial neural network is presented for the purpose of simplification and more general application for the inversion method in transient electromagnetic exploration. On the basis of back propagation(BP) algorithm, an adaptive inversion system of artificial neural network had been designed and developed. The system avoids complicated calculations of electromagnetic field and can be used to solve some practical problems through learning and training.It can also memorize and make the inversion a continuous process which depends not only on current event but also the previous event.The inversion results are in good agreement with geological data.

为使瞬变电磁勘探的反演法简单和通用 ,提出了一种瞬变电磁勘探中的人工神经网络反演法 ,基于人工神经网络的BP算法 ,设计和开发了一个自适应的人工神经网络反演系统 .该系统避免了复杂的电磁场计算 ,只需经过学习训练就能够解决复杂的实际问题 ,而且具有记忆功能 ,从而使瞬变电磁法的反演工作具有延续性和可继承性 .通过对实际的地质数据进行反演 ,结果表明 ,该方法是切实可行的 .

A method of neural network adaptive inversion control for nonlinear systems is proposed.Two neural networks are used,the inversion of nonlinear systems is realized by off line trained NN1,on line NN2 is used to compensate inversion error and varieties of system dynamic property.Simulation results of a nonlinear system indicate that neural network adaptive inversion control can improve system dynamic property and has better robustnees.

提出了非线性系统的神经网络自适应逆控制方法。设计中使用了 2个神经网络 ,经离线训练的NN1实现非线性系统的逆 ,在线网络NN2用于补偿逆误差和系统的动态特性变化。对一非线性系统的仿真结果表明 ,神经网络自适应逆控制能够提高系统的动态性能 ,并且具有较好的鲁棒性。

The dynamic model of lifting re-entry flight is analyzed and a control method using neural network and adaptive inversion,which is able to overcome the disadvantages of existing control methods,is presented.This method adapted well to nonlinear and strong couple of the plant,and was not sensitive to the variety of environment,disturbances and other uncertainty factors.it was simulated in simulink finally,and the result showed that neural networks and adaptive inversion control can track the desired...

The dynamic model of lifting re-entry flight is analyzed and a control method using neural network and adaptive inversion,which is able to overcome the disadvantages of existing control methods,is presented.This method adapted well to nonlinear and strong couple of the plant,and was not sensitive to the variety of environment,disturbances and other uncertainty factors.it was simulated in simulink finally,and the result showed that neural networks and adaptive inversion control can track the desired inputs perfectly.

分析了升力式再入飞行器的动力学模型,针对现有的再入控制方法的缺陷,提出了利用神经网络自适应逆来设计再入控制系统,使再入飞行器控制系统克服现有的控制方法的缺陷,无需大量的增益调节,自动适应非线性、强耦合的对象特性,适应大范围环境变化,减小对不同飞行条件下气动与结构参数的依赖性,自动补偿不确定因素。最后通过simulink建模对控制系统进行了仿真,验证了此控制系统能很好地跟踪输入,并且能抑制大范围的外部扰动。

 
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