Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane

2010 ◽  
pp. 213-224 ◽  
Author(s):  
Leticia Cervantes ◽  
Oscar Castillo
Keyword(s):  
Fuzzy System ◽  
Longitudinal Control ◽  
F 14

Predictors of Problematic Video Game Usage in Childhood and Adolescence

2013 ◽  
Vol 59 (3) ◽  
pp. 153-164 ◽  
Author(s):  
Thomas Mößle ◽  
Florian Rehbein
Keyword(s):  
Social Environment ◽  
School Children ◽  
Video Game ◽  
Video Gaming ◽  
Control Group ◽  
Childhood And Adolescence ◽  
Longitudinal Control ◽  
Peer Problems ◽  
Media Usage ◽  
Usage Patterns

Aim: The aim of this article is to work out the differential significance of risk factors of media usage, personality and social environment in order to explain problematic video game usage in childhood and adolescence. Method: Data are drawn from the Berlin Longitudinal Study Media, a four-year longitudinal control group study with 1 207 school children. Data from 739 school children who participated at 5th and 6th grade were available for analysis. Result: To explain the development of problematic video game usage, all three areas, i. e. specific media usage patterns, certain aspects of personality and certain factors pertaining to social environment, must be taken into consideration. Video game genre, video gaming in reaction to failure in the real world (media usage), the children’s/adolescents’ academic self-concept (personality), peer problems and parental care (social environment) are of particular significance. Conclusion: The results of the study emphasize that in future – and above all also longitudinal – studies different factors regarding social environment must also be taken into account with the recorded variables of media usage and personality in order to be able to explain the construct of problematic video game usage. Furthermore, this will open up possibilities for prevention.

PreScan-Based Nonlinear Longitudinal Control for Connected Vehicle Platoon

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yunheng Luo ◽  
Yongfu Li ◽  
Lin Liu ◽  
Wei Hao
Keyword(s):  
Connected Vehicle ◽  
Longitudinal Control ◽  
Vehicle Platoon

Modeling of a Variable Speed Drive Using Adaptive Fuzzy System

2016 ◽  
Vol 10 (1) ◽  
pp. 19
Author(s):  
Sekhar J.N. Chandra ◽  
Marutheswar G.V. ◽  
◽  
Keyword(s):  
Fuzzy System ◽  
Variable Speed ◽  
Variable Speed Drive ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy System

Penerapan Logika Samar dalam Peramalan Data Runtun Waktu

2011 ◽  
Vol 3 (2) ◽  
pp. 11-15
Author(s):  
Seng Hansun
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Time Series Analysis ◽  
Fuzzy Sets ◽  
Fuzzy System ◽  
Time Series Data ◽  
Fuzzy Logic System ◽  
Series Data ◽  
Series Analysis ◽  
Logic System

Recently, there are so many soft computing methods been used in time series analysis. One of these methods is fuzzy logic system. In this paper, we will try to implement fuzzy logic system to predict a non-stationary time series data. The data we use here is Mackey-Glass chaotic time series. We also use MATLAB software to predict the time series data, which have been divided into four groups of input-output pairs. These groups then will be used as the input variables of the fuzzy logic system. There are two scenarios been used in this paper, first is by using seven fuzzy sets, and second is by using fifteen fuzzy sets. The result shows that the fuzzy system with fifteen fuzzy sets give a better forecasting result than the fuzzy system with seven fuzzy sets. Index Terms—forecasting, fuzzy logic, Mackey-Glass chaotic, MATLAB, time series analysis

Field Theory for Some Traffic Phenomena and Fundamental Diagram

2021 ◽  
pp. 036119812110064
Author(s):  
Daiheng Ni
Keyword(s):  
Field Theory ◽  
Traffic Flow ◽  
Causal Effect ◽  
Microscopic Approach ◽  
Fundamental Diagram ◽  
Longitudinal Control ◽  
Effect Analysis ◽  
Vehicle Trajectories ◽  
Vehicle Motion ◽  
Cross Reference

A fundamental diagram consists of a scatter of traffic flow data sampled at a specific location and aggregated from vehicle trajectories. These trajectories, if presented equivalently, constitute a microscopic version of the (conventional) fundamental diagram. The cross-reference between vehicle trajectories and the microscopic fundamental diagram provides details of vehicle motion dynamics which allow causal-effect analysis on some traffic phenomena and further reveal the microscopic basis of the conventional fundamental diagram. This observation inspires theoretical modeling by a microscopic approach to address traffic phenomena and the conventional fundamental diagram. Derived from the field theory of traffic flow, the longitudinal control model is capable of serving the purpose without the modifications or exceptions used by other approaches.

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