| 汽车ABS模糊神经网络控制系统 |
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| 引用本文： | 莫友声,朱荣,李思恩,沈莉.汽车ABS模糊神经网络控制系统[J].上海交通大学学报,1999,33(5):570-573. |
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| 作者姓名： | 莫友声 朱荣 李思恩 沈莉 |
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| 作者单位： | 上海交通大学,仪器工程系,上海,200030 |
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| 摘 要： | 针对汽车的防抱死制动系统（ＡＢＳ）工作特点和性能要求，在模糊自适应控制（ＦＡＣ）和神经网络控制的基础上，采用模糊神经网络控制（ＦＮＣ）方案对汽车ＡＢＳ控制系统进行了研究，比较了ＦＡＣ和ＦＮＣ方案．结果显示，汽车ＡＢＳ的ＦＮＣ是成功有效的．且在设计模糊控制器时采用了本文提出的推理轨迹的方法，使模糊控制系统的优化设计更为便捷有效．
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| 关 键 词： | 汽车 防抱死制动系统 神经网络 模糊控制 |
| 修稿时间： | 1998-09-18 |
Analysis of Fuzzy Neural-Network ABS System |
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| MO You-sheng,ZHU Rong,LI Si-en,SHEN Li.Analysis of Fuzzy Neural-Network ABS System[J].Journal of Shanghai Jiaotong University,1999,33(5):570-573. |
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| Authors: | MO You-sheng ZHU Rong LI Si-en SHEN Li |
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| Abstract: | The control scheme based on fuzzy neural network for ABS analysis was proposed. It combines advantages of fuzzy control with one of neural network control, aiming at characteristics and special requirements of ABS system. Comparing the two methods of fuzzy adaptive control(FAC) and fuzzy neural network control(FNC), the result indicates the present method FNC is effective and gives reference to future work. Furthermore, the locus of fuzzy inference was applied to design fuzzy controller, which makes the optimal design of fuzzy control system much more convenient and effective. |
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| Keywords: | automobiles antislip braking system (ABS) neural networks fuzzy control |
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