A Decentralized Fuzzy Learning Algorithm for Pursuit-Evasion Differential Games with Superior Evaders

2015 ◽  
Vol 83 (1) ◽  
pp. 35-53 ◽  
Author(s):  
Mostafa D. Awheda ◽  
Howard M. Schwartz
Keyword(s):  
Differential Games ◽  
Learning Algorithm ◽  
Pursuit Evasion ◽  
Fuzzy Learning

HYSTERESIS CHARACTERIZATION BY A FUZZY LEARNING ALGORITHM

1994 ◽  
Vol 02 (03) ◽  
pp. 351-360
Author(s):  
EDGE C. YEH ◽  
SHAO HOW LU
Keyword(s):  
Fuzzy Sets ◽  
Prediction Accuracy ◽  
Learning Algorithm ◽  
Numerical Data ◽  
Underlying Mechanism ◽  
Fuzzy Rules ◽  
Hysteresis Phenomenon ◽  
Input Output ◽  
Fuzzy Learning

In this paper, the hysteresis characterization in fuzzy spaces is presented by utilizing a fuzzy learning algorithm to generate fuzzy rules automatically from numerical data. The hysteresis phenomenon is first described to analyze its underlying mechanism. Then a fuzzy learning algorithm is presented to learn the hysteresis phenomenon and is used for predicting a simple hysteresis phenomenon. The results of learning are illustrated by mesh plots and input-output relation plots. Furthermore, the dependency of prediction accuracy on the number of fuzzy sets is studied. The method provides a useful tool to model the hysteresis phenomenon in fuzzy spaces.

scholarly journals Erratum to: Zero-Sum Pursuit-Evasion Differential Games with Many Objects: Survey of Publications

2016 ◽  
Vol 7 (4) ◽  
pp. 634-634
Author(s):  
Sergey S. Kumkov ◽  
Stéphane Le Ménec ◽  
Valerii S. Patsko
Keyword(s):  
Differential Games ◽  
Pursuit Evasion ◽  
Zero Sum

scholarly journals A METHOD TO SOLVE MISSILE-AIRCRAFT PURSUIT-EVASION DIFFERENTIAL GAMES

2005 ◽  
Vol 38 (1) ◽  
pp. 176-181 ◽  
Author(s):  
Fumiaki Imado ◽  
Takeshi Kuroda
Keyword(s):  
Differential Games ◽  
Pursuit Evasion
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