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Summary & Details

Control System, Control Simulation,Model-Based Development（MBD）, Control Engineering and Artificial Intelligence（AI）

モデルベース開発と制御と人工知能

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20214213

Paper/Info type: Journal of Society of Automotive Engineers of Japan

Vol.75 No.4

Pages: 12-17(Total 6 p)

Date of publication: Apr 2021

Publisher: JSAE

Language: Japanese

Detailed Information

Category(J)	試作と実験をしない仮想自動車開発へ Translation
Category(E)	Virtual car development goes without prototype testing
Author(J)	1) 足立修一
Author(E)	1) Shuichi Adachi
Affiliation(J)	1) 慶應義塾大学
Abstract(J)	モデルベース開発（MBD）と人工知能（AI）の関係を制御工学の視点から解説する。特に，制御工学と人工知能の類似性と相違点について，それらの歴史を振り返ることによって説明する。また，それぞれの分野の主要なトピックス，たとえば，制御のシステム同定とAIの機械学習，制御のPID制御とAIの強化学習を用いて説明する。モデルベース開発を自動車に適用する場合，制御工学とAIの長所を融合することが望ましいことを述べる。 Translation
Abstract(E)	The relationship between model-based development(MBD) and the artificial intelligence(AI) is described from the viewpoint of control engineering. Especially, similarities and differences of the control engineering and AI are presented based on their histories and their main research topics, for example, system identification and machine learning, and PID control and reinforcement learning. In order to perform MBD for automobiles, it is desired to unify control engineering and AI.

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