Analysis and Design of Multi-Agent Systems Based on Ultra-Discretized Reaction-Diffusion Models

2016 Fiscal Year Final Research Report

• Project/Area Number: 26630196
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Control engineering/System engineering
• Research Institution: Kanazawa University
• Principal Investigator: Yamamoto Shigeru 金沢大学, 電子情報学系, 教授 (70220465)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: モデル同定 / セルオートマトン / 超離散化 / 交通流 / 捕食・被食モデル

Outline of Final Research Achievements

We have investigated a method of deriving and controlling reaction-diffusion phenomena such as traffic jam, predator-prey interactions, and disease propagation. In particular, we have developed an identification method for a cellular automaton, back-ultra-discretization of a cellular automaton showing traffic jam phenomena, a new control method based on a cellular automaton model, a new traffic flow cellular automaton model, and back-ultra-discretization of a Lotka-Volterra model and
a Kendall model known as a disease propagation model.

Free Research Field

制御工学