Design of Behavior Assistance Control based on Hybrid System Theory
| Project/Area Number |
22360170
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Control engineering
|
|---|
| Research Institution | Nagoya University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
INAGAKI Shinkichi 名古屋大学, 工学研究科, 講師 (80362276)
TAZAKI Yuichi 名古屋大学, 工学研究科, 助教 (10547433)
|
|---|
| Project Period (FY) |
2010 – 2012
|
| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥15,860,000 (Direct Cost: ¥12,200,000、Indirect Cost: ¥3,660,000)
Fiscal Year 2012: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2011: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2010: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
|
|---|
| Keywords | 制御システム / ハイブリッドシステム / 人間行動 / 行動支援 / モデル予測制御 / 運転行動 / システム同定 |
|---|
| Research Abstract |
This research has developed a new framework of the assisting system design based on a hybrid system description of the behavior model. In particular, a piecewise ARX model was used to represent the human behavior. Then, the design problem of the assistance control is formulated as an online optimization problem. By using the developed framework, the decision making mechanism is shared between human and machine. The usefulness is demonstrated by applying driving behavior.
|
Report
(4 results)
Research Products
(34 results)
-
-
-
[Journal Article] SelfCoaching System Based on Recorded Driving Data: Learning From One's Experiences2012
Author(s)
K. Takeda, C. Miyajima, T. Suzuki, P.Angkititrakul, K. Kurumida, Y. Kuroyanagi, H. Ishikawa, R. Terashima, T.Wakita, M. Oikawa and Y. Komada
-
Journal Title
IEEE Trans. OnIntelligent Transportation Systems
Volume: Vol.13,No.4
Pages: 1821-1831
Related Report
Peer Reviewed
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
