Study of Adaptive Model Predictive Control for Cyber-Physical Home Systems

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.