| Project/Area Number |
10045043
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B).
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
計測・制御工学
|
|---|
| Research Institution | TOTTORI UNIVERSITY |
|---|
Principal Investigator |
UOSAKI Katsuji Tottori University, Dept.Inf. and Knowl.Eng., Professor, 工学部, 教授 (20029151)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
HATANAKA Toshiharu Tottori University, Dept.Inf. and Knowl.Eng., Research Associate, 工学部, 助手 (10252884)
FOSS Bjarne ノルウエー科学技術大学, サバネテックス工学科, 教授
|
|---|
| Project Period (FY) |
1998 – 2000
|
| Project Status |
Completed (Fiscal Year 2000)
|
| Budget Amount *help |
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 2000: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 1999: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 1998: ¥1,200,000 (Direct Cost: ¥1,200,000)
|
|---|
| Keywords | System Identification / Local Models / Model Set / Information Criteria / Nonlinear Systems / Evolutionary Computation / Regime Selection / Hammerstein Model |
|---|
| Research Abstract |
The object of the research is integrate the ideas of system modeling, optimization and control and develop a new approach for these fields.
1.Local modeling and control
Local modeling is known as a useful approach for nonlinear system identification. Since the system model is composed of several local models corresponding to local operating regions, selection of local operating regions is crucial. An algorithm for automatic selection of suitable operating regimes by using Kullback's discrimination information (KDI) and Akaike's information criterion (AIC). Numerical simulation results demonstrate the effectiveness of the proposed method. Professor Foss (Norwegian University of Science and Technology), international co-operating researcher of this research, addresses the control of the nonlinear systems modeled by this approach.
2.Nonlinear system identification using Genetic Programming
Nonlinear system identification based on Genetic Programming has been developed. This approach provides the system model structure, which plays an important part in system identification. Wiener and Hammerstein models are identified by this approach.
|
