Kernel methods have emerged as a powerful tool in adaptive filtering and system identification, enabling the processing and modelling of complex, nonlinear relationships in dynamic systems. By mapping ...

Adaptive filtering and system identification techniques form a cornerstone in modern signal processing and control theory, providing dynamic methods for modelling and real-time adjustment in complex ...

of the cycled system, enabling precise identification of systems operating in multirate sensing environments. A research team at Kumamoto University (Japan) has unveiled a new mathematical framework ...

In the research topic of Aeroelastic System Identification, we specialize in the methods for experimental and operational modal analysis. These methods are applied to aircraft, helicopters, EVTOLs and ...