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robustness and tracking performance
相关语句
  鲁棒性和跟踪性能
     Simulation results indicate that the system robustness and tracking performance are superior to those of the traditional PID control method.
     仿真结果表明了该方法的鲁棒性和跟踪性能均优于传统PID控制方法。
短句来源
     Simulation results indicated that the system robustness and tracking performance are superior to those of classic PID method.
     仿真研究结果表明了该方法的鲁棒性和跟踪性能均优于经典 PID方法
短句来源
     Simulation results indicate that the system robustness and tracking performance are superior to those of classic PID method.
     仿真研究结果表明 ,该方法的鲁棒性和跟踪性能均优于经典PID方法 .
短句来源
     A new modified model reference adaptive control scheme aimed at improving the transient performance of adaptive systems was proposed in the paper. The switched adaptive law and the statistic compensator in the new scheme eliminate the undesirable phenomena,such as reducing the amplitude of oscillation and regulate time during the initial stages of adaptation,which improve the rate of convergence of trace error and the transient behavior,then robustness and tracking performance are enhanced(obviously).
     提出了一种旨在改进自适应控制系统性能的模型参考自适应控制新方案,通过引入切换自适应律和静态补偿器,减少系统在自适应调整的初始阶段振荡的幅度和调节时间,提高系统收敛的速度,改善系统跟踪误差的瞬态行为,从而显著地提高系统的鲁棒性和跟踪性能.
短句来源
     The results of simulation show the superior robustness and tracking performance of this GPCIC.
     仿真结果说明该算法对多变量系统具有良好的鲁棒性和跟踪性能
  “robustness and tracking performance”译为未确定词的双语例句
     The Predictive Functional Control(PFC)technology is introduced,and the analysis of robustness and tracking performance for PFC control system are done in this paper.
     介绍和分析了预测函数控制方法以及引入预测函数控制律的闭环系统的跟踪性能和鲁棒性等问题 ,并进一步研究了这一控制策略在某型战术导弹控制系统中的应用。
短句来源
     The robustness and tracking performance for using the PI control method and the nonlinear PD control method are compared by simulation.
     对采用常规PI控制与非线性PD控制的飞行控制系统进行了鲁棒性仿真比较以及典型地形跟随误差仿真比较。
短句来源
     The analysis of stability,robustness and tracking performance for PFC control system are studied in this paper, and the adjustment methods of the PFC control law parameters are also discussed.
     分析了单变量预测函数控制系统的闭环稳定性、跟踪性能、鲁棒性等问题 ,并在此基础上讨论了控制参数的调节方法 .
短句来源
     Simulation results demonstrate that the load predictive control system has good control effectiveness under different loads and have better robustness and tracking performance because of the decoupling mechanism in multi-variable DMC.
     结果表明,多变量DMC算法内含的解耦机制和优良的控制品质,使得单元机组负荷预测控制系统在不同的负荷下均获得了满意的控制效果,负荷跟踪性能好,鲁棒性强。
短句来源
     The fuzzy controller design for complex single-input-single-output systems is resented. Fuzzy model of non-linear system is constructed by dynamic charactics, local state feedback controllers are designed by parallel compensation method. Improved robustness and tracking performance are obtained with global fuzzy controller constructed by a seamless integration of fuzzy-model-based control and sliding model control.
     提出了一种对于复杂单输入单输出系统的模糊控制器设计.通过提取系统动态特性构造了非线性系统的模糊模型,并利用平行分布朴偿算法设计局部状态反馈器,最终将所有的局部状态反馈控制器和滑模控制器结合而建立了一个全局模糊逻辑控制器,从而使系统的鲁棒性和跟踪性得到了较大的改善.另外,滑模控制方法的引入使得非线性控制系统的稳定性控制得到了保证.
  相似匹配句对
     Robustness of GLSE
     广义最小二乘估计的稳健性
短句来源
     The Robustness of Disturbance Decoupling
     干扰解耦的鲁棒性
短句来源
     It has strong robustness and stability.
     该算法具有很强的鲁棒性和稳定性。
短句来源
     The algorithm has robustness and realiability.
     算法具有鲁棒性和实用性。
短句来源
     On Tracking
     关于统调
短句来源
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It is difficult to get classic PID controller's precise parameters,and PID control method is based on the precise mathematical model.Generraly,its adaptivity is poor.So, PID control method is not adaptive to nonlinear and time variant plants.It is impossible to insure the accuracy of the system.This paper study a method, in which classic non precise parameters PID controller's play a important role and RBF neural networks is make used to compensate the PID controller.Simulation results indicated that the system...

It is difficult to get classic PID controller's precise parameters,and PID control method is based on the precise mathematical model.Generraly,its adaptivity is poor.So, PID control method is not adaptive to nonlinear and time variant plants.It is impossible to insure the accuracy of the system.This paper study a method, in which classic non precise parameters PID controller's play a important role and RBF neural networks is make used to compensate the PID controller.Simulation results indicated that the system robustness and tracking performance are superior to those of classic PID method.

经典 PID方法的控制参数难以精确整定 ,且依赖于对象的数学模型 ,故自适应性较差 ,很难适应具有非线性、时变不确定性的被控对象 ,控制精度难以保证。文中研究了在近似参数 PID控制基础之上 ,采用 RBF神经网络进行补偿控制的综合控制方法。仿真研究结果表明了该方法的鲁棒性和跟踪性能均优于经典 PID方法

The Predictive Functional Control(PFC)technology is introduced,and the analysis of robustness and tracking performance for PFC control system are done in this paper.The simulation results of PFC in missile control system show that the PFC control law have the following properties:simple calculation,strong robustness,strong disturbance attenuation and high control precision.

介绍和分析了预测函数控制方法以及引入预测函数控制律的闭环系统的跟踪性能和鲁棒性等问题 ,并进一步研究了这一控制策略在某型战术导弹控制系统中的应用。通过仿真及与其他控制方法的比较 ,表明预测函数控制方法是一种计算简单、鲁棒性强、抑制干扰能力好、控制精度高的十分有效的控制方法

Classic PID control method which is based on precise mathematical model has poor adaptivity and is not adaptive to nonlinear and time variant plants.Conventional neural network is always complicated and its stability often suffers from the effect of initial weight value selecting.A simple stable direct adaptive PID control algorithm is proposed, which is based on RBF neural network.To guarantee the system stability and improve the system precision, initial weight value selecting problem for the neural network...

Classic PID control method which is based on precise mathematical model has poor adaptivity and is not adaptive to nonlinear and time variant plants.Conventional neural network is always complicated and its stability often suffers from the effect of initial weight value selecting.A simple stable direct adaptive PID control algorithm is proposed, which is based on RBF neural network.To guarantee the system stability and improve the system precision, initial weight value selecting problem for the neural network is discussed and corresponding iterative algorithm is provided. Simulation results indicate that the system robustness and tracking performance are superior to those of classic PID method.

经典的基于对象精确数学模型的PID控制方法的自适应性较差 ,难以适应具有非线性、时变不确定性的被控对象 .神经网络控制算法的稳定性又受到迭代初值的影响 ,且算法复杂 .为此提出了一种基于RBF神经网络的、结构简单的、稳定的PID直接自适应控制方法 .讨论了控制器参数迭代初值选取的基本原则 ,并给出了在保证系统稳定性前提下参数的迭代算法 .仿真研究结果表明 ,该方法的鲁棒性和跟踪性能均优于经典PID方法 .

 
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