Abstract: Signal analysis is frequently used to characterize systems. The simplest approach for system identification is by using linear methods. However, depending on the degree of nonlinearity of the system at hand, these linear methods may not always generate useful results. To address nonlinearity, we have to use characterizations with Volterra and Wiener series, or special metrics designed to characterize nonlinear properties. Application of such advanced techniques is far from trivial. Therefore, the goal of this chapter is to introduce basics for modeling systems with an emphasis on techniques one can use to model and characterize nonlinear systems and their signals. We will also provide an introduction to the application of Volterra series that forms the basis for the identification of dynamical nonlinear systems. These systems are indicated as higher-order systems because they include operators beyond a first-order, linear one.
Publication Year: 2018
Publication Date: 2018-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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