| Project/Area Number |
05650422
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
計測・制御工学
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| Research Institution | Fukuoka Institute of Technology |
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Principal Investigator |
NAKANO Kazushi Fukuoka Institute of Technology Dept. of Electrical Engineering Professor, 工学部, 教授 (90136531)
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| Co-Investigator(Kenkyū-buntansha) |
EGUCHI Miyoichi Fukuoka Institute of Technology Dept. of Electrical Engineering Associate Profes, 工学部, 助教授 (50176765)
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| Project Period (FY) |
1993 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 1994: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1993: ¥700,000 (Direct Cost: ¥700,000)
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| Keywords | model reference method / distributed-parameter systems / diffusion systems / flexible beem systems / EMM control / finite-dimension / eventually asymptotical stability / edge-adaptive identification / ガウス・ニュートン法 / ダイナミックシミュレータ / マルチプル・フォゲッティング / 柔軟ビーム |
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| Research Abstract |
[1] Adaptive Control and Robust Control of Distributed-Parameter Systems
(a) A practical design method of Model-Refrence Adaptive Control Systems (MRACS) for a diffusion system is presented using a finite-dimensional adaptive observer. The eventually asymptotical stability of the MRACS is guaranteed with consideration of the spillover.
(b) A vibration control of a thin flexible beem system with a movable terminal is considered. A design technique of H-inf control systems is presented in the basis of the derived mathematical model. The control strategy is compared with LQG/LTR control.
[2] Exact Model Matching Control and Robust Control for Nonlinear Systems
(a) An inverted pendulum system is treated as a class of nonlinear mechanical systems. A new exact model matching control which is applicable to nonlinear mechanical systems, is presented.
(b) A fuzzy sliding mode control is proposed for control of an inverted pendulum system. The stability of the control system is investigated.
[3] Identification of Continuous-and Discrete-Time Systems
(a) An identification technique based on the Gauss Newton-type with extremum searching is presented and applied to a rotary cultivator.
(b) Linear Integral filter (LIF) method and Dynamic Simulator (DS) method are applied to the problem of identifying parameters of an inverted pendulum system.
(c) The edge-adaptive identification with multiple forgetting factors and the Kalman filter-type restoration are applied to real images, and their effectiveness is proven by some examples.
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