| Project/Area Number |
13650495
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Control engineering
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| Research Institution | Keio University |
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Principal Investigator |
SANO Akira Keio University, System Design Engineering, Professor, 理工学部, 教授 (10051765)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 2002: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2001: ¥2,500,000 (Direct Cost: ¥2,500,000)
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| Keywords | System identification / Nonlinear identification / Closed-loop identification / Active noise control / Two-mass system / Coupling canceller / Nonlinerity compensation / Nonlinear prediction / 時変システム |
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| Research Abstract |
The aim of this research is to present efficient on-line adaptive methods for identification of parameters of time varying linear and nonlinear elements operating in closed-loop systems. The obtained results are summarized as follows : (1) A perfect adaptive acitve noise control scheme has been given first to suppress primary noise at an error microphone without identification of any secondary path dynamics from artificial control loudspeaker to the error, in a situation when there is also an uncertain coupling path from the control loudspeaker to a reference microphone. Its effectiveness has also been validated in active noise attenuation using an air duct. (2) The stable adaptive control algorithm was derived to identify linear and nonlinear friction and damping factors in two-mass motor velocity feedback control systems. (3) Adaptive predistortion schemes have been given to compensate for linear and nonlinear distortions of high power amplifier used in OFDM systems. (4) Direction-of-arrival estimation methods using an array sensor have been developed in of multipath situations, and also applied in cancellation of coupling signals from a transmitter antenna.
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