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

2020 ◽  
Vol 203 ◽  
pp. 106147
Author(s):  
Guan-Yu Hu ◽  
Zhi-Jie Zhou ◽  
ChangHua Hu ◽  
Bang-Cheng Zhang ◽  
Zhi-Guo Zhou ◽  
...  
Keyword(s):  
Complex System ◽  
Time Delay ◽  
Forecasting Model ◽  
Rule Base ◽  
Behavior Prediction ◽  
Belief Rule Base

A new approximate belief rule base expert system for complex system modelling

2021 ◽  
pp. 113558
Author(s):  
You Cao ◽  
Zhijie Zhou ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
Jie Wang
Keyword(s):  
Complex System ◽  
Expert System ◽  
Rule Base ◽  
System Modelling ◽  
Belief Rule Base

A New Multilayer Belief Rule Base Model for Complex System Modeling

2021 ◽  
pp. 1-12
Author(s):  
You Cao ◽  
Zhijie Zhou ◽  
Guanyu Hu ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
...  
Keyword(s):  
Complex System ◽  
System Modeling ◽  
Rule Base ◽  
Belief Rule Base ◽  
Complex System Modeling

Akaike Information Criterion-based conjunctive belief rule base learning for complex system modeling

2018 ◽  
Vol 161 ◽  
pp. 47-64 ◽  
Author(s):  
Leilei Chang ◽  
Zhijie Zhou ◽  
Yuwang Chen ◽  
Xiaobin Xu ◽  
Jianbin Sun ◽  
...  
Keyword(s):  
Complex System ◽  
Akaike Information Criterion ◽  
System Modeling ◽  
Information Criterion ◽  
Rule Base ◽  
Belief Rule Base ◽  
Complex System Modeling

A New Prediction Model Based on Belief Rule Base for System's Behavior Prediction

2011 ◽  
Vol 19 (4) ◽  
pp. 636-651 ◽  
Author(s):  
Xiao-Sheng Si ◽  
Chang-Hua Hu ◽  
Jian-Bo Yang ◽  
Zhi-Jie Zhou
Keyword(s):  
Prediction Model ◽  
Rule Base ◽  
Behavior Prediction ◽  
Model Based ◽  
Belief Rule Base

A Model for Hidden Behavior Prediction of Complex Systems Based on Belief Rule Base and Power Set

2018 ◽  
Vol 48 (9) ◽  
pp. 1649-1655 ◽  
Author(s):  
Zhi-Jie Zhou ◽  
Guan-Yu Hu ◽  
Bang-Cheng Zhang ◽  
Chang-Hua Hu ◽  
Zhi-Guo Zhou ◽  
...  
Keyword(s):  
Complex Systems ◽  
Rule Base ◽  
Behavior Prediction ◽  
Belief Rule Base ◽  
Power Set

Correlation-oriented complex system structural risk assessment using Copula and belief rule base

2021 ◽  
Vol 564 ◽  
pp. 220-236
Author(s):  
Leilei Chang ◽  
Limao Zhang ◽  
Xiaojian Xu
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Rule Base ◽  
Belief Rule Base ◽  
Structural Risk

Hidden Behavior Prediction of Complex Systems Under Testing Influence Based on Semiquantitative Information and Belief Rule Base

2015 ◽  
Vol 23 (6) ◽  
pp. 2371-2386 ◽  
Author(s):  
Zhi-Jie Zhou ◽  
Chang-Hua Hu ◽  
Guan-Yu Hu ◽  
Xiao-Xia Han ◽  
Bang-Cheng Zhang ◽  
...  
Keyword(s):  
Complex Systems ◽  
Rule Base ◽  
Behavior Prediction ◽  
Belief Rule Base

A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base

2017 ◽  
Vol 93 ◽  
pp. 108-120 ◽  
Author(s):  
Gailing Li ◽  
Zhijie Zhou ◽  
Changhua Hu ◽  
Leilei Chang ◽  
Zhiguo Zhou ◽  
...  
Keyword(s):  
Complex System ◽  
Safety Assessment ◽  
Minimum Variance ◽  
Assessment Model ◽  
Rule Base ◽  
Belief Rule Base

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

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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