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General model under interference signal analysis


ener-core following: = (ro + +2) Σg () (231 A ∞ (fI) = (r1 +3 ar3 +3 Lo r3) Σg () i} i) = A ∞ (24H (i】, i2 ) = 1-2Σg (),[link widoczny dla zalogowanych], (i】 A) _ Factory (i2 a,) 20 ∞ corresponds to the value of the non-intrinsic Wiener nucleus. (a),[link widoczny dla zalogowanych], (b) is the standard deviation () 0.5 and 1.0 of the simulation results. Figure 2 shows that the addition of external interference signals on the second core did not affect the inherent wier 0O00 (25) Figure 2, knocking the value of the simulation results H (i】, i2,[link widoczny dla zalogowanych], 13) = 1 -3Σg ()·,( i 【a), (i2 a), (i3 a) (26) and so on. Equation (23) ~ (26), etc. There are:.: The plants Σ (n), Lu : The Σh2 (n). Then,[link widoczny dla zalogowanych], after mixed signals on the interference of nuclear effects on the discussion of the inherent Wiener fully with the situation at the time of .2 continuous simulation is presented here in discrete time-invariant general model of the external interference signal The second-order Wiener nucleus of the diagonal elements of the computer simulation results in Figure 1, taking plant (n) = 1.2exp (a n/16),[link widoczny dla zalogowanych], ≥ 0 (27) g () = 1.4exp (a n / 8j, n ≥ 0 (2 input and output characteristics of nonlinear gain is simple to calculate, take n) = M (n) A 1 (29) and do not have. external interference signal to analog Gaussian white noise w (n ) Ⅳ directly to the input of nonlinear gain on the analog input signal is also Gaussian white noise, and there is (n) = 1. Figure 2 shows the numerical results. where the dash for 2-order Wiener kernel diagonal inherent The value of the solid line was added after 3 Conclusion When the interference of a nonlinear system in the practical application by the impact of external interference signals when the measured or identified by the kernel function is not inherent in the system kernel, that is, not deep set or identify the correct result. Therefore, the study of nonlinear system identification. have to take into account the external interference signal kernel function of the system to identify the right inherent in the system or kernel function. This paper discussed the general model this problem, because many of the general model can constitute a nonlinear system, so this article has a more important significance. It can be a simple model to other models such as Wiener, Hammerstein model, can also more complex non- linear systems to provide reference and research assistance.
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