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As depicted in Figure 2, system (5) is asymptotically stable even though the system coefficients are unbounded.
The approach is also suitable for determining the propagation of fuzziness in automatic control and dynamical systems where all system coefficients are expressed as fuzzy parameters.
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However, most of the results on the absolute stability of Lurie systems require that the system coefficients be bounded.
For deterministic systems, the coefficients of the polynomials are constant, but for stochastic systems, the coefficients are random variables.
In this article, we study a boundary value problem of a class of generalized linear discrete-time systems whose coefficients are square constant matrices.
In this article, we studied the stability of a class of linear singular discrete time systems whose coefficients are square constant matrices and the leading matrix coefficient is singular.
Our goal in this section is to extend the considerations developed in Section 2 to the study of stabilization of the indirect control systems whose coefficients are expressed in a matrix form.
In this paper, stability results for the linear degenerate fractional differential system with constant coefficients are presented.
For FBMC system, the prototype coefficients are assumed to be equal to PHYDYAS coefficients with overlapping factor and are defined by [24, 37].
It is quite useful for the design of time-varying filter bank with modulation of the prototype filter because in such a filter bank system the filter coefficients are described by prototype filter.
The pseudo-second-order model gives the best fit with the kinetic data for the diazinon-PCW systems; all regression coefficients are high (>0.99, Table 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com