Advanced Signal Processing Models in a Smart Home System
Keywords:
adaptive splines, Kalman filter, PID controller, fuzzy logic, neuro-fuzzy control, temperature control, water level controlAbstract
This article provides an advanced control model for controlling the temperature and water level in smart home systems. The proposed model combines adaptive splines, Kalman filters, a dynamically adjustable PID controller and a neuro-fuzzy control system. The goal is to improve the efficiency and accuracy of the system in real time. Mathematical models are provided along with a detailed step-by-step solution. The analysis includes various error handling methods and comparison of results using tables and graphs.
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