Analog-digital systems descriptions for signal processing and control application

The paper deals with two comparatively simple but common approaches to deal with real analog-digital systems. First description contents: decomposition of the static input-output characteristic, which is used to get properties for a wide class of nonlinearities and it allows to calculate the output signal for any input signal; to deal with dynamics, coefficients of differential equation are used. As a result, the behaviour of the of the object, which contents nonlinear statical part and linear dynamic part can be described with a small set of parameters only and each of them can be estimated experimentally. Second description is based on linear inertial stochastic for model, which takes account of nonlinear and inertial conversion effect by introducing equivalent noise. This makes if possible to remain within the class of linear operators in normalizing the total dynamic responses to allow for nonlinear properties of ADS. The simulation and experimental results confirmed the usefulness of the both kind of descriptions utilizing the same coefficients of differential equation estimated experimentally