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To illustrate performance of the proposed observer, we present simulation of a satellite system where the single delayed vector measurement is provided by a magnetometer.
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The delayed echo vector must subsequently be multiplied by the adaptive apodization weights.
References [4, 5, 8, 10, 11] have discussed the delayed SIR vector disease models with nonlinear incidence functions.
The purpose of data storage buffer was to let the delayed echo vector wait until the adaptive weight calculation block finished its workload.
Throughout the paper, the time argument is omitted and the delayed state vector (x t-tau)) is denoted by (x t-tau).
On the other hand, [6, 13, 19] have also investigated the delayed SIR vector disease models with the logistic growth of susceptible individuals.
The third method is based on pole placement and is built for the particular case that the original time-delay system has only a pure delayed state vector on its right hand side.
In this paper, a delayed SIR vector disease model with incubation time delay is established, in which the growth of susceptible individuals follows the logistic function in the absence of disease and the more general form of the nonlinear incidence rate is considered.
Figure 4 Illustration of the procedure of forming possible time delay vector combinations.
Motivated by the above discussions, in this paper, a new delay vector integral inequality is established.
The power autocorrelation feature can be also referred to the fourth-order/two-conjugate moment at delay vector [7].
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