Open AccessResearch on Motion Prediction Algorithm Based on Nash Equilibrium
Author(s) -
Wenbo He,
Tianchi Zhang,
Jing Zhang,
Xiaodong Zhang,
Jiasen Chen
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/3/032081
Subject(s) - nash equilibrium , motion (physics) , computer science , algorithm , object (grammar) , mathematical optimization , mathematics , artificial intelligence
The Nash equilibrium method is studied in this paper, and a new motion prediction algorithm based on Nash equilibrium is proposed. This method includes 3 main contents: 1. Analyze and abstract the influencing factors of object motion. 2. Analyze the effects of each factor and list the Nash equilibrium equation. 3. Find the optimal solution of the system of equations. Use Nash equilibrium method to attain the purpose of overall considerate all influencing factors of motion prediction. This algorithm can solve the problem that the current motion prediction algorithm can’t take all the influence factors into account. To verify this method, we introduce this method to the ocean drift motion prediction and prove the accuracy of the method through three sets of comparison experiments.