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Identification and Iterative Learning Control for Building Systems: A Data-driven Approach
Identification and Iterative Learning Control for Building Systems: A Data-driven Approach
- 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
detalle info
- Reserva
- 캠퍼스간 도서대출
- 서가에 없는 책 신고
- Mi carpeta