Tutorial on nonlinear system identification

Abstract

Because nonlinearity is now a frequent occurrence in real-life applications, the practitioner should understand the resulting dynamical phenomena and account for them in the design process. This tutorial focuses on nonlinear system identification, which extracts relevant information about nonlinearity directly from experimental measurements. Specifically, the identification process is a progression through three steps, namely detection, characterization and parameter estimation. The tutorial presents these steps in detail and illustrates them using real aerospace structures.