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Data-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach
Data-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach
Detailed Information
- 자료유형
- 기사
- ISSN
- 10636536
- 저자명
- Fabio Previdi
- 서명/저자
- Data-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach / Fabio Previdi , Thomas Schauer, Sergio M. Savaresi, Kenneth J. Hunt
- 발행사항
- New York, NY : Institute of Electrical and Electronics Engineers, 2004.
- 형태사항
- pp. 176-182
- 주기사항
- Indudes Bibiography Reference
- 원문정보
- url
- 모체레코드
- 모체정보확인
- Control Number
- kjul:60263384
MARC
008201016s2004 ai aa eng■022 ▼a10636536
■1001 ▼aFabio Previdi
■24510▼aData-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach▼dFabio Previdi▼eThomas Schauer, Sergio M. Savaresi, Kenneth J. Hunt
■260 ▼aNew York, NY▼bInstitute of Electrical and Electronics Engineers▼c2004.
■300 ▼app. 176-182
■500 ▼aIndudes Bibiography Reference
■7001 ▼aThomas Schauer, Sergio M. Savaresi, Kenneth J. Hunt
■773 ▼tIEEE transactions on control systems technology▼gVol. 12 No. 1 (2004. 1)▼d2004, 01
■856 ▼uhttps://www.ieee.org
■SIS ▼aS029536▼b60077650▼h8▼s2▼fP
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