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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/16099

Title: Study of adaptive model predictive control for cyber-physical home systems
Authors: OOI, Sian En
FANG, Yuan
LIM, Yuto
TAN, Yasuo
Keywords: Adaptive
Model Predictive Control
Smart Homes
Cyber-Physical Systems
Issue Date: 2018-08-28
Publisher: Springer
Magazine name: Computational Science and Technology
Volume: 481
Start page: 165
End page: 174
DOI: 10.1007/978-981-13-2622-6_17
Abstract: With the inception of connected devices in smart homes, the need for user adaptive and context-aware systems have been increasing steadily. In this paper, we present an adaptive model predictive control (MPC) based controller for cyber-physical home systems (CPHS) environment. The adaptive MPC controller is integrated into the existing Energy Efficient Thermal Comfort Control (EETCC) system that was developed specifically for the experimental smart house, iHouse. The proposed adaptive MPC is designed in a real time manner for temperature reference tracking scenario where it is evaluated and verified in a CPHS simulation using raw environmental data from the iHouse.
Rights: This is the author-created version of Springer, OOI S.E., FANG Y., LIM Y., TAN Y. (2019) Study of Adaptive Model Predictive Control for Cyber-Physical Home Systems. In: Alfred R., Lim Y., Ibrahim A., Anthony P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-981-13-2622-6_17
URI: http://hdl.handle.net/10119/16099
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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