The authors implement the moving horizon estimation (MHE) algorithm to observe the states and parameters on a vibrating active cantilever.
The moving horizon estimation (MHE) algorithm is implemented in real-time on a low-cost Raspberry Pi computer.
MHE is experimentally compared to the de-facto standard extended Kalman filter (EKF).
The MHE algorithm reacts to changes and disturbances better than the EKF.
The use of MHE estimates for adaptive vibration control and structural health assessment is viable in real-time.