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观测器增益    
相关语句
  observer gain
    (2) Utilizing differential equation theory , matrix measure and comparison principle method, the sufficient conditions for Lipschitz nonlinear systems are deduced. At the same time a new optimal design method of the observer gain matrix is presented.
    (2)利用微分方程理论、矩阵测度和比较原理方法,给出了一类满足Lipschitz条件的非线性系统稳定的充分条件,同时提出了观测器增益矩阵L新优化设计方法;
短句来源
    At the same time, the polo assignment is also considered, so that the system has desired dynamical performance. In this paper, the optimum feedback matrix F* and observer gain matrix L* can be found by optimization. The numer ical examples show that the robustness of the system can be greatly improved in this way.
    对具有结构式不确定性描述的带观测器反馈控制系统提出一种鲁棒设计方法.该方法选取反映系统鲁棒稳定范围的函数为性解指标,同时考虑了组合系统特征值的配置约束,使之满足动态特征要求.并用梯度法进行优化,寻找最佳的状态反馈矩阵F*和观测器增益矩阵L*.计标实例表明,这种设计方法可明显提高系统的鲁棒性.
短句来源
    This paper briefly presents the general methods which use the pole assignment meth-od for finding the state feedback gain matrix K and the state observer gain vector L of the con-troled objects and derives the practical algorithm to find K and L.
    本文扼要介绍了用极点配置法求受控对象状态反馈增益阵K和受控对象状态观测器增益矢量L的一般方法。 并从极点配置的基本原理出发导出了求K和L的实用算法。
短句来源
    This paper investigates the problem of designing stabilizing controllers and observers for uncertainly symmetric composite systems. A method of designing observers and feedback control laws is presented. by such a designing method, the state feedback gain matrix and the observer gain matrix which will stabilize a given symmet symmetric composite system with uncertainty can be conducted by solving lower-order algbraic Riccati equations.
    本文研究了不确定的对称组合系统的稳定化控制器与观测器的设计问题,给出一种设计稳定化控制器与观测器的方法.在这种设计方法中,使给定的带有不确定性的对称组合系统稳定的状态反馈增益矩阵和观测器增益矩阵可由低阶代数Riccati方程的解导出.
短句来源
    A class of uncertain nonlinear systems are modeled by fuzzy T S model. On the basis of the fuzzy modeling, a fuzzy state feedback controller and robust observer are designed. Based on linear matrix inequality, fuzzy state feedback gain matrix and fuzzy observer gain matrix algorithms are given.
    利用模糊 T-S模型对一类不确定非线性系统进行模糊建模 ,在此基础上研究基于观测器的模糊动态输出反馈控制 ,给出了模糊闭环系统二次稳定的充分条件及其反馈控制增益和观测器增益的求法 ,以及输出反馈控制器的设计方法。
短句来源
更多       
  observer gain
    (2) Utilizing differential equation theory , matrix measure and comparison principle method, the sufficient conditions for Lipschitz nonlinear systems are deduced. At the same time a new optimal design method of the observer gain matrix is presented.
    (2)利用微分方程理论、矩阵测度和比较原理方法,给出了一类满足Lipschitz条件的非线性系统稳定的充分条件,同时提出了观测器增益矩阵L新优化设计方法;
短句来源
    At the same time, the polo assignment is also considered, so that the system has desired dynamical performance. In this paper, the optimum feedback matrix F* and observer gain matrix L* can be found by optimization. The numer ical examples show that the robustness of the system can be greatly improved in this way.
    对具有结构式不确定性描述的带观测器反馈控制系统提出一种鲁棒设计方法.该方法选取反映系统鲁棒稳定范围的函数为性解指标,同时考虑了组合系统特征值的配置约束,使之满足动态特征要求.并用梯度法进行优化,寻找最佳的状态反馈矩阵F*和观测器增益矩阵L*.计标实例表明,这种设计方法可明显提高系统的鲁棒性.
短句来源
    This paper briefly presents the general methods which use the pole assignment meth-od for finding the state feedback gain matrix K and the state observer gain vector L of the con-troled objects and derives the practical algorithm to find K and L.
    本文扼要介绍了用极点配置法求受控对象状态反馈增益阵K和受控对象状态观测器增益矢量L的一般方法。 并从极点配置的基本原理出发导出了求K和L的实用算法。
短句来源
    This paper investigates the problem of designing stabilizing controllers and observers for uncertainly symmetric composite systems. A method of designing observers and feedback control laws is presented. by such a designing method, the state feedback gain matrix and the observer gain matrix which will stabilize a given symmet symmetric composite system with uncertainty can be conducted by solving lower-order algbraic Riccati equations.
    本文研究了不确定的对称组合系统的稳定化控制器与观测器的设计问题,给出一种设计稳定化控制器与观测器的方法.在这种设计方法中,使给定的带有不确定性的对称组合系统稳定的状态反馈增益矩阵和观测器增益矩阵可由低阶代数Riccati方程的解导出.
短句来源
    A class of uncertain nonlinear systems are modeled by fuzzy T S model. On the basis of the fuzzy modeling, a fuzzy state feedback controller and robust observer are designed. Based on linear matrix inequality, fuzzy state feedback gain matrix and fuzzy observer gain matrix algorithms are given.
    利用模糊 T-S模型对一类不确定非线性系统进行模糊建模 ,在此基础上研究基于观测器的模糊动态输出反馈控制 ,给出了模糊闭环系统二次稳定的充分条件及其反馈控制增益和观测器增益的求法 ,以及输出反馈控制器的设计方法。
短句来源
更多       
  observer gain
    (2) Utilizing differential equation theory , matrix measure and comparison principle method, the sufficient conditions for Lipschitz nonlinear systems are deduced. At the same time a new optimal design method of the observer gain matrix is presented.
    (2)利用微分方程理论、矩阵测度和比较原理方法,给出了一类满足Lipschitz条件的非线性系统稳定的充分条件,同时提出了观测器增益矩阵L新优化设计方法;
短句来源
    At the same time, the polo assignment is also considered, so that the system has desired dynamical performance. In this paper, the optimum feedback matrix F* and observer gain matrix L* can be found by optimization. The numer ical examples show that the robustness of the system can be greatly improved in this way.
    对具有结构式不确定性描述的带观测器反馈控制系统提出一种鲁棒设计方法.该方法选取反映系统鲁棒稳定范围的函数为性解指标,同时考虑了组合系统特征值的配置约束,使之满足动态特征要求.并用梯度法进行优化,寻找最佳的状态反馈矩阵F*和观测器增益矩阵L*.计标实例表明,这种设计方法可明显提高系统的鲁棒性.
短句来源
    This paper briefly presents the general methods which use the pole assignment meth-od for finding the state feedback gain matrix K and the state observer gain vector L of the con-troled objects and derives the practical algorithm to find K and L.
    本文扼要介绍了用极点配置法求受控对象状态反馈增益阵K和受控对象状态观测器增益矢量L的一般方法。 并从极点配置的基本原理出发导出了求K和L的实用算法。
短句来源
    This paper investigates the problem of designing stabilizing controllers and observers for uncertainly symmetric composite systems. A method of designing observers and feedback control laws is presented. by such a designing method, the state feedback gain matrix and the observer gain matrix which will stabilize a given symmet symmetric composite system with uncertainty can be conducted by solving lower-order algbraic Riccati equations.
    本文研究了不确定的对称组合系统的稳定化控制器与观测器的设计问题,给出一种设计稳定化控制器与观测器的方法.在这种设计方法中,使给定的带有不确定性的对称组合系统稳定的状态反馈增益矩阵和观测器增益矩阵可由低阶代数Riccati方程的解导出.
短句来源
    A class of uncertain nonlinear systems are modeled by fuzzy T S model. On the basis of the fuzzy modeling, a fuzzy state feedback controller and robust observer are designed. Based on linear matrix inequality, fuzzy state feedback gain matrix and fuzzy observer gain matrix algorithms are given.
    利用模糊 T-S模型对一类不确定非线性系统进行模糊建模 ,在此基础上研究基于观测器的模糊动态输出反馈控制 ,给出了模糊闭环系统二次稳定的充分条件及其反馈控制增益和观测器增益的求法 ,以及输出反馈控制器的设计方法。
短句来源
更多       
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  observer gain
Both methods give simple complete parametric expressions for the observer gain matrices.
      
Based on an analytical solution to a type of Sylvester matrix equations, the parameterization of the observer gain matrix is given.
      
we have considered the nonlinearity of the system in designing the gain of the observer and then, it is prevented that the observer gain is unnecessarily increased.
      
With the aid of a gradient-based optimization approach, an explicit formula for designing the desirable observer gain is derived.
      
As shown in Figure 5, if the observer gain is sufficiently large, the actual convergence rate is very close to the analytical result.
      
更多          


As for the system in terms of structured uncertain description, this paper represents a robust design method. By this method, a function, which is associated with the robust stabil ity boundary, is selected as performence index. At the same time, the polo assignment is also considered, so that the system has desired dynamical performance. In this paper, the optimum feedback matrix F* and observer gain matrix L* can be found by optimization. The numer ical examples show that the robustness of the system can...

As for the system in terms of structured uncertain description, this paper represents a robust design method. By this method, a function, which is associated with the robust stabil ity boundary, is selected as performence index. At the same time, the polo assignment is also considered, so that the system has desired dynamical performance. In this paper, the optimum feedback matrix F* and observer gain matrix L* can be found by optimization. The numer ical examples show that the robustness of the system can be greatly improved in this way.

对具有结构式不确定性描述的带观测器反馈控制系统提出一种鲁棒设计方法.该方法选取反映系统鲁棒稳定范围的函数为性解指标,同时考虑了组合系统特征值的配置约束,使之满足动态特征要求.并用梯度法进行优化,寻找最佳的状态反馈矩阵F*和观测器增益矩阵L*.计标实例表明,这种设计方法可明显提高系统的鲁棒性.

This paper briefly presents the general methods which use the pole assignment meth-od for finding the state feedback gain matrix K and the state observer gain vector L of the con-troled objects and derives the practical algorithm to find K and L.

本文扼要介绍了用极点配置法求受控对象状态反馈增益阵K和受控对象状态观测器增益矢量L的一般方法。并从极点配置的基本原理出发导出了求K和L的实用算法。

This paper investigates the problem of designing stabilizing controllers and observers for uncertainly symmetric composite systems.A method of designing observers and feedback control laws is presented.by such a designing method, the state feedback gain matrix and the observer gain matrix which will stabilize a given symmet symmetric composite system with uncertainty can be conducted by solving lower-order algbraic Riccati equations.

本文研究了不确定的对称组合系统的稳定化控制器与观测器的设计问题,给出一种设计稳定化控制器与观测器的方法.在这种设计方法中,使给定的带有不确定性的对称组合系统稳定的状态反馈增益矩阵和观测器增益矩阵可由低阶代数Riccati方程的解导出.

 
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