In order to precisely model real-life systems or man-made devices, both
nonlinear and dynamic properties need to be taken into account. The
generic, black-box model based on Volterra and Wiener series is capable
of representing fairly complicated nonlinear and dynamic interactions,
however, the resulting identification algorithms are impractical, mainly
due to their computational complexity. One of the alternatives offering
fast identification algorithms is the block-oriented approach, in which
systems of relatively simple structures are considered. The book
provides nonparametric identification algorithms designed for such
systems together with the description of their asymptotic and
computational properties.