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   linear plant 的翻译结果: 查询用时:0.153秒
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linear plant
相关语句
  线性对象
     On The Global Stability of Continuous—time Model Refenence Adaptive Control System for Linear Plant with Input Time Delay
     输入含有时滞的线性对象的模型参考自适应控制系统的大域稳定性
短句来源
     Research on LNN-based Adaptive Inverse Control of a Class Linear Plant with Disturbance
     基于线性网络的一类带扰动线性对象的逆控制研究
短句来源
     A basic predictive function control(PFC) is only applicable for linear plant control. To overcome the defect,a nonlinear self-adaptive PFC based on a hybrid neural network is presented.
     针对基本预测函数控制只能用于线性对象的控制这一不足,提出了基于混合神经网络的非线性预测函数控制.
短句来源
     Then the inverse form of nonlinear static gain is solved and in series with the nonlinear plant to compensate the nonlinear static gain of nonlinear plant. Thus the nonlinear plant control is transformed into linear plant control and the PFC of nonlinear plant is realized.
     利用BP网络求出非线性静态增益的逆并与非线性对象串联,抵消非线性对象中的非线性静态增益部分,将非线性对象的控制问题转化为对线性对象的控制问题,实现了对非线性对象的预测函数控制.
短句来源
     Simulations are carried out by modeling a linear plant and a nonlinear plant. Results show that the new neural network has better generalization ability than the ordinary neural network with regularization method.
     对线性对象和非线性对象分别进行建模仿真,结果表明,改进的神经网络比基于正则化方法的神经网络具有更好的泛化能力.
短句来源
  “linear plant”译为未确定词的双语例句
     The method of modeling and designing adaptive inverse controllers is studied, and the structure coupled with Least-Mean-Square (LMS) algorithm for controlling a linear plant is discussed.
     首先研究了对象建模和控制器设计的方法,讨论了用LMS算法实现的滤波器结构。
短句来源
     The sliding predictive controller with goodperformance is designed for a rapid-changed linear plant under delay,networkinduced noise and data dropout circumstance.
     并针对一类线性被控对象,将滑模预估变结构控制器的设计方法引入到它的设计中,设计出的控制器可以用来处理长时滞,克服满足匹配条件的扰动和一定的数据包丢失。
短句来源
     A program is designed based on LabVIEW virtual instrument,which can easily get the parameters of the PID controller for linear plant no more than third-order, finish the design of PID controller.
     利用LabVIEW虚拟仪器开发平台,设计了一个程序,可以对3阶以内的线性被控对象快速的确定PID控制器的各个参数,完成PID控制器的设计。
短句来源
  相似匹配句对
     Application of Non-Linear Controller to HDPE Plant
     非线性控制器在高密度聚乙烯装置上的应用
短句来源
     MULTIVARIATE LINEAR MODEL FOR DISTRIBUTION OF PLANT COMMUNITY AND ENVIRONMENT
     植物群落分布与环境的多元线性模型
短句来源
     Linear Space
     线形空间
短句来源
     The plant of Rhodiola.
     红景天为景天科红景天属(Rhodiola L.)
短句来源
     Plant Construction
     设备施工
短句来源
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  linear plant
In this paper, we consider uncertain constant parameters in a time-invariant linear plant and announce some new results concerning robust compensator synthesis.
      
A minimax terminal state estimation problem is posed for a linear plant and a generalized quadratic loss function.
      
An event-based control system with an endomorphic neural network model is designed and realized to control a saturated non-linear plant.
      
Principles of the theory of active identification are developed for a stationary optimal discrete filter in an adaptive model connected to a closed-loop control system with a stochastic linear plant.
      
Adaptive control of a stochastic linear plant under uncertainty
      
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The properties of self-organizing fuzzy controller applied to the level plant are studied through simulation.The results show that such controller can reach a better performance than a conventional PI controller for a level plant.This is probably an example to illustrate that the fuzzy controller is suitable for some non - linear plants.

本文用仿真手段研究了自组织模糊调节器用于液位调节时的性能。仿真结果表明,这种模糊调节器用于液位对象可望比常规的 PI 调节器获得更好的调节品质,这可能是能说明模糊调节器适用于非线性对象的一个例子。

Predictive control algorithm is a new type of computer control algorithm developed since the middle of 70's. It is characterized by its easily modelling, simple on-line computation and comprehensively good control, quality.Based on the step response of a linear plant, this paper proposes a new method of designing digital controllers in predictive space. The theoretical background of the predictive control algorithm is explained. The closed-loop structure, the setting procedure for design parameters and...

Predictive control algorithm is a new type of computer control algorithm developed since the middle of 70's. It is characterized by its easily modelling, simple on-line computation and comprehensively good control, quality.Based on the step response of a linear plant, this paper proposes a new method of designing digital controllers in predictive space. The theoretical background of the predictive control algorithm is explained. The closed-loop structure, the setting procedure for design parameters and the implementation of the new algorithm are discussed. Finally, the performance of the new method is demonstrated by some examples with computer simulation and experiment.

预测控制算法是70年代中期发展起来的一类新型计算机控制算法。本文从线性对象的阶跃响应出发,导出了在预测空间设计数字控制器的新方法,阐明了预测控制的理论背景,并讨论了控制回路的结构、参数整定及算法实现。最后以仿真及实验的例子说明了这一方法的有效性。

From the view point of the bicriterion optimization concerning parameter estimation and optimum control, a four-level hierarchical model following controller for a non-linear system is presented by means of decomposition-coordination technique of the large scale system. The algorithm is applied to solve a practical problem of controlling the excitation of the synchronous machine with unknown parameters. Simulation results show that the algorithm is easy in caculation and clear in structure. It not only makes...

From the view point of the bicriterion optimization concerning parameter estimation and optimum control, a four-level hierarchical model following controller for a non-linear system is presented by means of decomposition-coordination technique of the large scale system. The algorithm is applied to solve a practical problem of controlling the excitation of the synchronous machine with unknown parameters. Simulation results show that the algorithm is easy in caculation and clear in structure. It not only makes the parameter estimation more accurate but also enables the non-linear plant response to follow that of the linear model quite closely.

从参数估计与最优控制双目标优化的观点出发,采用大系统中分解-协调的方法,给出了一种对非线性系统四级递阶模型跟踪控制的算法,并用于求解带未知参数的同步电机励磁控制问题。仿真结果表明,此算法计算简便、结构分明,能达到较好的参数估计精度,而且能使非线性对象很好地跟踪模型。

 
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