| 1. | The structure of a typical fuzzy logic controller ' s output
一类典型模糊逻辑控制器的输出结构 |
| 2. | The second part is highlighted by the design of fuzzy logic controller of the system
第二部分的重点是设计卫星环境控制系统的模糊逻辑控制器。 |
| 3. | This dissertation defines two parameters based on the diversity measure as the input of the flc which is used to control the ga ' s crossover probability and mutation probability
本文从群体多样性的角度出发，定义了两个参数作为模糊逻辑控制器的输入变量，输出为遗传算法的交叉概率和变异概率。 |
| 4. | But to adopt the parameters self - adjust illegibility controller , we make the system reach the best capability by illegibility control rule of controller parameters adjusting automatically controller ’ parameters
但采用参数自调整模糊逻辑控制器,就可以通过控制器参数的模糊控制规则自动地调节控制器的参数来使系统达到最佳的性能指标。 |
| 5. | Firstly , the design of the controller ' s single variable and two dimension system structure which takes the error change rate as well as error into account and improves the system structure ' s properties
首先，设计了模糊控制器的系统结构，采用单变量二维结构设计卫星模糊逻辑控制器，既考虑误差同时也考虑误差变化率，改善了控制系统的特性。 |
| 6. | The production rules enable the accurate and detailed expression of the experts " control thinking , which makes fuzzy logic controller characterized by artificial intelligence function as experts do in a certain degree
用产生式规则表示领域专家的知识和经验，准确详细的表达了专家的控制思想，使模糊逻辑控制器能够真实的反映领域专家的水平，具有人工智能的特性。 |
| 7. | On the basis of former work , author presents a fga based on the diversity measure . in order to keep the dynamic balance between eer , t ' uz / y logic controller ( flc ) was used to adjust ga ' s important parameters dynamicly
本文在前人研究的基础上，基于群体多样性测度设计了一个模糊遗传算法，利用模糊逻辑控制器来动态调整遗传算法中的重要参数，保持遗传算法eer的动态平衡。 |
| 8. | A problem is choosing the control current of mr damper . in this paper , fuzzy logic controller is introduced to choose the control current , and full - state intelligent control for structures is carried and fuzzy logic full - state control is proposed . 3
对于磁流变阻尼器控制电流的精确选择问题，本文引入模糊逻辑控制器进行电流选择，并实施对结构的全态智能控制，提出了模糊逻辑全态控制； 3 |
| 9. | Although fuzzy logic controllers have been successfully applied in many complex industrial processes , they experience a deficiency in knowledge acquisition and rely to a great extent on empirical and heuristic knowledge which , in many cases , cannot be objectively elicited
模糊逻辑控制器已被成功地应用于许多复杂对象的控制过程中，但是它们都面临着如何获取足够的知识以及过分依赖经验和先验知识的问题。 |
| 10. | Another problem is time - delay being in the control of mr structure , hi this paper , one input of the fuzzy logic controller is the seismic acceleration that avoids some time - delay being in the control . but time - delay being in the structure still is n ' t solved , so the neural network technique is introduced to predict the seismic responses of structures to avoid it , and the bi - state neural network control and fuzzy full - state neural network control are proposed . 4
对于磁流变阻尼结构控制中的时间滞后问题，本文将地震加速度作为模糊逻辑控制器的一个输入，消除了控制中部分滞后问题；但仍存在着结构本身的滞后问题，对此引入神经网络对建筑结构的地震反应进行预测，并基于预测的动力反应和实测结构的动力反应的综合值作为模糊逻辑控制器的输入来消除建筑结构本身的时滞，并提出了双态神经网络控制和模糊全态神经网络控制； 4 |
