Abstract—learning from the behavior of the resident is essential in order to adapt the system to provide intelligent lighting control. Technologies to assure two aspects, coordinated system control and intelligent decision making, are required for such system implementation. In this paper an agent-based system architecture that aims to provide intelligent lighting control according to resident’s habits is proposed. The multi-agent technology has been integrated with intelligent decision making algorithms seeking to provide fast, adaptive and accurate lighting control. To explore capabilities of the proposed lighting control system, the experiments including resident’s changing habits and unpredictable behavior have been performed, evaluating accuracy and speed of control.
Index Terms—Agent-based system, intelligent lighting control, behavior patterns, resident habits.
The authors are with the Kaunas University of Technology, Lithuania (e-mail: agne.paulauskaite-taraseviciene@ktu.lt).
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Cite: Agne Paulauskaite-Taraseviciene, Nerijus Morkevicius, Vaidas Jukavicius, Laura Kizauskiene, and Egidijus Kazanavicius, "Agent-Based System Architecture for Intelligent Lighting Control Based on Resident’s Behavior," International Journal of Modeling and Optimization vol. 5, no. 1, pp. 48-54, 2015.
