Kernel methods have emerged as powerful tools in adaptive filtering and system identification, particularly for handling nonlinear relationships in data. These methods leverage the concept of ...

Another significant contribution is the introduction of kernel-based models for system analysis, which focus on identifying nonlinear input-output relationships while adhering to specific system ...