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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/15491

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
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: http://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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