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Issue No.02 - March/April (2008 vol.23)
pp: 42-49
Antti-Matti Vainio , Tampere University of Technology
Miika Valtonen , Tampere University of Technology
Jukka Vanhala , Tampere University of Technology
ABSTRACT
A proactive and ubiquitous computing system in a home environment must operate unobtrusively. This article presents the steps for developing an autonomous home-control system. The system's method uses fuzzy, continuous-time control, online adaptation, and a context-aware intelligent environment. The control and learning methods allow the home to adapt to user routines unobtrusively and smoothly. The adaptation is based on recognizing patterns of human practices, which can change over time. The authors applied these methods to a fuzzy-controlled lighting system in a smart-home laboratory environment. The authors obtained results from both functional and long-term practical tests.
INDEX TERMS
ambient intelligence, context awareness, adaptive fuzzy control, reinforcement learning
CITATION
Antti-Matti Vainio, Miika Valtonen, Jukka Vanhala, "Proactive Fuzzy Control and Adaptation Methods for Smart Homes", IEEE Intelligent Systems, vol.23, no. 2, pp. 42-49, March/April 2008, doi:10.1109/MIS.2008.33
REFERENCES
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6. M. Valtonen, A.-M. Vainio, and J. Vanhala, "Continuous-Time Fuzzy Control and Learning Methods," Proc. 7th Int'l Symp. Communications and Information Technologies (ISCIT07), 2007, pp. 346–351.
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