Presentation 2002/2/26
Adaptive Least-Squares Method for MIMO System Identification
Yuichi TANJI, Masaya SUZUKI, Takayuki WATANABE, Hideki ASAI,
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Abstract(in English) The selective orthogonalization for system identification was proposed, where the redundancy of the model was removed and nearly optimal model (reduced-order model) was obtained. In this report, we extend the algorithm to MIMO system identification, to show that monitoring L_2-norm for residual matrix is suitable for the model order reduction. The numerical example for modeling RLCG transmission line characterized by sampled data is presented, and our consideration is also validated numerically.
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Keyword(in English) Least-Squares Method / Orthogonal Transform / Model Order Reduction / Mixed Microwave and Circuit Simulation / Signal Integrity
Paper # CS2001-141
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Committee CS
Conference Date 2002/2/26(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive Least-Squares Method for MIMO System Identification
Sub Title (in English)
Keyword(1) Least-Squares Method
Keyword(2) Orthogonal Transform
Keyword(3) Model Order Reduction
Keyword(4) Mixed Microwave and Circuit Simulation
Keyword(5) Signal Integrity
1st Author's Name Yuichi TANJI
1st Author's Affiliation Dept. of RISE, Kagawa University()
2nd Author's Name Masaya SUZUKI
2nd Author's Affiliation Dept. of Systems Eng., Shizuoka University,
3rd Author's Name Takayuki WATANABE
3rd Author's Affiliation School of Administration & Informatics, University of Shizuoka,
4th Author's Name Hideki ASAI
4th Author's Affiliation Dept. of Systems Eng., Shizuoka University,
Date 2002/2/26
Paper # CS2001-141
Volume (vol) vol.101
Number (no) 670
Page pp.pp.-
#Pages 6
Date of Issue