Synchronized estimation of displacement in a structure using multi-sensors under different sampling periods

This paper presents an estimation algorithm based on a synchronized observer, using homogeneous sensor fusion for a linear system in the presence of multiple sampling periods, whether periodic or aperiodic. This allows for the fusion of a single continuoustime estimation applied in a vertical building-like structure. Additionally, the multisensors are affected by different measurement noises. The designed algorithm is validated on a two-story vertical building structure with multisensors that have different sampling rates and significantly large sampling intervals for the system, aiming to reduce the effects of noisy signals. The effects of multiple sampling and noise are very real issues in monitoring systems.