1996 Fiscal Year Final Research Report Summary
Toward Control System Design Based on System Structure
| Project/Area Number |
07305014
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 総合 |
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| Research Field |
計測・制御工学
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| Research Institution | Osaka University |
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Principal Investigator |
IKEDA Masao Osaka University, Faculty of Engineering, Professor, 工学部, 教授 (00031146)
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| Co-Investigator(Kenkyū-buntansha) |
SUGIE Toshiharu Kyoto University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (80171148)
HAYAKAWA Yoshikazu Nagoya University, Faculty of Engineering, Professor, 工学部, 教授 (60126894)
HARA Shinji Tokyo Institute of Technology, Graduate School of Science and Technology, Profes, 総合理工学研究科, 教授 (80134972)
YAMAMOTO Yutaka Kyoto University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (70115963)
OHTA Yoshito Osaka University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (30160518)
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| Project Period (FY) |
1995 – 1996
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| Keywords | control theory / control system design / modeling / robust control / system structure |
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| Research Abstract |
This research project aimed at establishing a new framework of control system design, which integrates modeling of a controlled system and design of a controller from the viewpoint of comatibility between the physical structure of a real system and the mathematical structure of its model. Individual investigators considered their own problems from this point of view. All members got together at four workshops to evaluate their obtained results and to discuss the desired framework. Main contributions of the project are as follows :
1.New robust control theory has been proposed which treats uncertainty of a physical system as it is in the mathematical description and avoids overestimation of uncertainty.
2.Robust control theory has been extended to preview control, and a method of introducing a tuning parameter in a robust control system has been proposed.
3.Sampled-data control theory has been applied to deadbeat control, symmetric systems, and signal processing.
4.New methods of modeling, gain-scheduling control, and adaptive control of nonlinear systems and varying systems have been proposed.
5.New design methods of decentralized control in which structural constraints are imposed have been proposed under less restrictive conditions.
6.A new control strategy based directly on input and output data has been proposed, which is from a completely new philosophy.
Due to shortage of research period, some of the results have not satisfactorily achieved the aim of the project. But, it can be said that even such results have initiated new ideas of control theory toward the final objective.
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