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https://hdl.handle.net/10119/15491
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| Title: | Study of predictive thermal comfort control for cyber-physical smart home system |
| Authors: | OOI, Sian En
MAKINO, Yoshiki
FANG, Yuan
LIM, Yuto
TAN, Yasuo |
| Keywords: | Model Predictive Control
Smart Homes
Cyber-Physical Systems
Thermal Comfort
iHouse |
| Issue Date: | 2018-01-23 |
| Publisher: | The Institute of Electronics, Information and Communication Engineers (IEICE) |
| Magazine name: | IEICE Technical Report |
| Volume: | 117 |
| Number: | 426 |
| Start page: | 29 |
| End page: | 34 |
| Abstract: | Classical control methods such proportional integral derivative (PID) are common in thermal comfort control applications as they are lightweight in terms of the computing power and well-received in the industry sector. Such thermal comfort classical controllers often suffer from non-optimal control input as they do not anticipate any future process. In this paper, we present a model predictive control (MPC) based thermal comfort system, which also incorporates the cyber-physical systems (CPS) approach into the system. The proposed system is evaluated and verified in a cyber-physical smart home system simulation using raw environmentl data from the experimental smart house, iHouse. |
| Rights: | Copyright (C) 2018 The Institute of Electronics, Information and Communication Engineers (IEICE). Sian En OOI, Yoshiki MAKINO, Yuan FANG, Yuto LIM, and Yasuo TAN, IEICE Technical Report, 117(426), 2018, 29-34. |
| URI: | https://hdl.handle.net/10119/15491 |
| Material Type: | publisher |
| Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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| 24711.pdf | | 1078Kb | Adobe PDF | View/Open |
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