This article presents a method for estimating linear time-varying approximation of general class nonlinear (NLTV) systems. It starts from noisy measurements the response NLTV system to special periodic excitation signals. These are subject measurement noise, process and trend. The proposed is two-step procedure. First, disturbing noise variance quantified. Next, using this knowledge, dynamics e...