Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model

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Bang-Cheng Zhang ◽  
Zhi-Guo Zhou ◽  
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2021 ◽  
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Zhijie Zhou ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
Jie Wang

2021 ◽  
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2018 ◽  
Vol 161 ◽  
pp. 47-64 ◽  
Author(s):  
Leilei Chang ◽  
Zhijie Zhou ◽  
Yuwang Chen ◽  
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2011 ◽  
Vol 19 (4) ◽  
pp. 636-651 ◽  
Author(s):  
Xiao-Sheng Si ◽  
Chang-Hua Hu ◽  
Jian-Bo Yang ◽  
Zhi-Jie Zhou

2018 ◽  
Vol 48 (9) ◽  
pp. 1649-1655 ◽  
Author(s):  
Zhi-Jie Zhou ◽  
Guan-Yu Hu ◽  
Bang-Cheng Zhang ◽  
Chang-Hua Hu ◽  
Zhi-Guo Zhou ◽  
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2015 ◽  
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Chang-Hua Hu ◽  
Guan-Yu Hu ◽  
Xiao-Xia Han ◽  
Bang-Cheng Zhang ◽  
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2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.


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