| 1. | This paper summarizes a new method for the auto - tuning of pid controllers
本文给出了一种自整定pid控制器的新方法。 |
| 2. | Two decentralized pid controller design methods are proposed in this paper
本文提出了两种分散pid控制器的设计方法。 |
| 3. | We compare the results of simulation of h controller and pid controller
通过计算机仿真将h控制器和pid控制器的控制效果进行对比。 |
| 4. | Abstract : a self - adaptive pid controller based on neural network is introduced in this paper
文摘:介绍了一种基于神经网络自学习pid控制器。 |
| 5. | And the capability of the self - adaptive fuzzy controller was studied using matlab simulation
并利用matlab仿真工具对模糊自整定pid控制器的性能作了初步研究。 |
| 6. | The classical pid controller is introduced and pid parameters and simulation results are presented
在此基础上设计了pid控制器，给出pid控制器参数和仿真结果。 |
| 7. | Classical pid controller has been widely used because of its single structure , easy to use , and so on
Pid控制器由于其自身结构简单，方便易行而获得广泛的应用。 |
| 8. | The simulation shows that the neural network control has better robustness than pid control
试验结果表明，神经网络控制器与pid控制器相比较，具有较强的鲁棒性。 |
| 9. | The relations between the proposed fuzzy controller and the conventional pid controller have been given
建立了所论模糊控制器的控制参数与常规pid控制器参数间的关系。 |
| 10. | A normal pid controller is used in industry , due to its simple structure and being realized easyly
常规的pid控制器由于结构简单、实现容易，在工业控制中被广泛应用。 |
