서브메뉴
검색
Identification and Iterative Learning Control for Building Systems: A Data-driven Approach
Identification and Iterative Learning Control for Building Systems: A Data-driven Approach
상세정보
- 자료유형
- 학위논문
- Control Number
- 0014997378
- International Standard Book Number
- 9780438206540
- Dewey Decimal Classification Number
- 621.3
- Main Entry-Personal Name
- Minakais, Matthew.
- Publication, Distribution, etc. (Imprint
- [Sl] : Rensselaer Polytechnic Institute, 2018
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2018
- Physical Description
- 137 p
- General Note
- Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
- General Note
- Advisers: John Wen
- Dissertation Note
- Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.
- Summary, Etc.
- 요약Commercial heating, ventilation, and air conditioning (HVAC) systems have been the focus of sustainability research due to their large energy footprint and relatively rudimentary control strategies. This thesis presents a novel approach to build
- Summary, Etc.
- 요약For simulation and system analysis, we model a multi-zone building as a lumped-parameter thermal resistance-capacitance network. This model is used to perform simulations and to study the inherent passivity in multi-zone building systems. We sho
- Summary, Etc.
- 요약For experimental valuation, we have designed, built, and instrumented a unique test facility. This intelligent building testbed was created to serve as a standardized platform for building modeling and control evaluation. Key features include wi
- Subject Added Entry-Topical Term
- Electrical engineering
- Added Entry-Corporate Name
- Rensselaer Polytechnic Institute Electrical Engineering
- Host Item Entry
- Dissertation Abstracts International. 79-12B(E).
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:555653
MARC
008190618s2018 c eng d■001000014997378
■00520190102171538
■020 ▼a9780438206540
■035 ▼a(MiAaPQ)AAI10787057
■035 ▼a(MiAaPQ)rpi:11267
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aMinakais, Matthew.
■24510▼aIdentification and Iterative Learning Control for Building Systems: A Data-driven Approach
■260 ▼a[Sl]▼bRensselaer Polytechnic Institute▼c2018
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2018
■300 ▼a137 p
■500 ▼aSource: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
■500 ▼aAdvisers: John Wen
■5021 ▼aThesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.
■520 ▼aCommercial heating, ventilation, and air conditioning (HVAC) systems have been the focus of sustainability research due to their large energy footprint and relatively rudimentary control strategies. This thesis presents a novel approach to build
■520 ▼aFor simulation and system analysis, we model a multi-zone building as a lumped-parameter thermal resistance-capacitance network. This model is used to perform simulations and to study the inherent passivity in multi-zone building systems. We sho
■520 ▼aFor experimental valuation, we have designed, built, and instrumented a unique test facility. This intelligent building testbed was created to serve as a standardized platform for building modeling and control evaluation. Key features include wi
■590 ▼aSchool code: 0185.
■650 4▼aElectrical engineering
■690 ▼a0544
■71020▼aRensselaer Polytechnic Institute▼bElectrical Engineering.
■7730 ▼tDissertation Abstracts International▼g79-12B(E).
■773 ▼tDissertation Abstract International
■790 ▼a0185
■791 ▼aPh.D.
■792 ▼a2018
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T14997378▼nKERIS
■980 ▼a201812▼f2019
미리보기
내보내기
chatGPT토론
Ai 추천 관련 도서
Info Détail de la recherche.
- Réservation
- 캠퍼스간 도서대출
- 서가에 없는 책 신고
- My Folder
