| 1. | Any control results can be achieved by the way of adjusting factors
可调整因子的变化，可以实现所有控制效果。 |
| 2. | U - turn ustment factor
回转调整因子 |
| 3. | The effect of adjustable factors on control performance can be estimated by simulation graph
通过仿真曲线，可以得到可调整因子的大小对控制性能的影响。 |
| 4. | We use the fuzzy pid control arithmetic with self - reliant factor for the speed loop
速度环的设计采用的是自调整因子的模糊pid控制算法，代替了原有的pid控制。 |
| 5. | Fuzzy control has the ability of adapt to the uncertainty of system , but response time of system has been effected
本文分析了二者的优劣，取长补短，采用了自调整因子的模糊pid控制。 |
| 6. | Control performance factor was employed in adaptability function of genetic algorithm in order to realize to configure adjustable factors according to control expectation
并且在遗传算法的适应度函数中引入控制性能的因素，拟实现按不同的控制要求，配置可调整因子。 |
| 7. | The paper presents self - regulation factor fuzzy - pid controller and pid self - regulation fuzzy controller in order to control temperature lagging object and nonlinear object in taking - up device
针对热风箱温度滞后的控制和卷绕过程中的非线性控制，本文提出了自调整因子模糊? pid复合控制器和pid参数自调整模糊控制器。 |
| 8. | In this thesis 2 - dimension fuzzy - control system with adjustable factors was analyzed and simulated using matlab as tool of data processing . genetic algorithm was used to search for the best adjustable factors
本论文用matlab作为数据处理工具，分析和仿真带可调整因子的二维模糊控制系统；用遗传算法作为寻优算法搜索最佳可调整因子。 |
| 9. | The study of this paper focus mainly on simulating and analyzing control system with different adjustable factors . and adjustable factors can be configured according to control expectation . the control results had been simulated and compared
本论文的工作主要研究对不同的可调整因子的二维控制仿真、分析；实现按控制期望配置可调整因子，并对控制效果仿真、比较。 |
| 10. | The paper proposes the fuzzy integrate controller with accumulating error through the much simulation research of general fuzzy controller double fuzzy controller fuzzy pid controller fuzzy + pid controller and fuzzy controller with self - adjusting factor
本文通过对常规的模糊控制器、双模糊控制器、模糊pid控制器、模糊+ pid控制器及自调整因子模糊控制器等多种类型的模糊控制器进行了大量的仿真研究，提出了带误差累加的模糊积分控制器。 |
