Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...

Abstract: Traditional modeling of passive intermodulation (PIM) for microstrip transmission lines is limited by the form of nonlinear source, the topology of the microstrip transmission line, and the ...

This is a preview. Log in through your library . Abstract A nonlinear model is presented for the dynamics of a population in which each individual is characterized by its chronological age and by an ...

This is a preview. Log in through your library . Abstract Multinomial logit models, especially those calibrated on scanner data, often use explanatory variables that are nonlinear functions of the ...

The figure below illustrates the core workflow of the APSMC framework proposed in the paper. This framework reformulates nonlinear structural dynamics into a time-varying state-space model via local ...

Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even minor errors in modeling these systems can rapidly ...