| 1. | Adrc air defence research committee
防空研究委员会 |
| 2. | This adrc is designed in distribute form and easily applied to engineering
该控制器以离散的形式进行设计，易于工程实现。 |
| 3. | The application of adrc to time delay system is discussed . the feasibility and control effect are discussed as well
对自抗扰控制器在时滞系统中的应用进行了探讨，分析了自抗扰控制器在时滞系统中的应用的可能性及控制效果。 |
| 4. | The simulation proves the approximate method can greatly reduce the structural displacement . third , the adrc is used in the structural seismic response control
2 、将时滞线性系统h _控制的近似方法应用到结构减振主动控制中。 |
| 5. | In chapter 4 , a novel nonlinear active control scheme ? auto - disturbances - rejection controller ( adrc ) is applied to the structural seismic control
第四章、将一种新型的非线性主动控制方法?自抗扰控制器( adrc )应用到结构主动控制中。 |
| 6. | The simulation result shows that the adrc , which base on ann are efficacious when applied to a hydraulic turbine power set which change largely and quickly
通过仿真比较，证实了基于神经网络的自抗扰控制器能对参数变化范围更广的水轮发电机组进行有效控制。 |
| 7. | In this paper , a novel dc speed control system has been introduced , the auto - disturbance rejection controller ( adrc ) has been used in the speed loop
摘要一种新型的直流调速系统，速度环采用自抗扰控制器，该控制器对系统的内部扰动和外部扰动进行观测，并加以补偿。 |
| 8. | The adrc is composed of nonlinear tracking differentiator ( ntd ) for feedforward control , an extended state observer ( eso ) , a nonlinear proportional - derivative controller ( npd ) in the feedback path and disturbance compensation
该自抗扰控制器由非线性跟踪微分器、扩张状态观测器、非线性pd和扰动补偿4部分组成。 |
| 9. | A distributed control strategy is used and a high robust auto - disturbance - rejection - controller ( adrc ) is designed in joint space of robot to implement the high - precision trajectory tracking of 6 - prrs parallel robot
摘要针对6 - prrs并联机器人控制系统的非线性、耦合等特性，采用分散控制策略，在关节空间设计强鲁棒性的自抗扰控制器对其进行控制。 |
| 10. | For the nonlinear and uncertain characteristic of hydraulic turbine power set , this paper combines the artificial neural networks ( ann ) with adrc theory and adjusts the structure of the controller according to the characteristic of the subject
针对水轮发电机组的非线性和不确定性，把神经网络与自抗扰控制理论相结合，并依据对象特性对控制器做了结构调整。 |
