New results for a Lasota–Wazewska model

2019 ◽  
Vol 12 (02) ◽  
pp. 1950019 ◽  
Author(s):  
Farouk Chérif ◽  
Mohsen Miraoui

In nature there is no phenomenon that is purely periodic, and this gives the idea to consider the measure pseudo almost periodic oscillation. In this paper, by employing a suitable fixed point theorem, the properties of the measure pseudo almost periodic functions and differential inequality, we investigate the existence and uniqueness of the measure pseudo almost periodic solutions for some models of Lasota–Wazewska equation with measure pseudo almost periodic coefficients and mixed delays. We suppose that the linear part has almost periodic and the nonlinear part is assumed to be measure pseudo almost periodic. Moreover, the global attractivity and the exponential stability of the measure pseudo almost periodic solutions are also considered for the system. As application, an illustrative numerical example is given to demonstrate the effectiveness of the obtained results.

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Lilun Zhang ◽  
Le Li ◽  
Chuangxia Huang

<p style='text-indent:20px;'>In this study, the stable dynamics of a kind of high-order cellular neural networks accompanying <inline-formula><tex-math id="M1">\begin{document}$ D $\end{document}</tex-math></inline-formula> operators and mixed delays are analyzed. The global existence of bounded positive solutions is substantiated by applying some novel differential inequality analyses. Meanwhile, by exploiting Lyapunov function method, some sufficient criteria are gained to validate the positiveness and globally exponential stability of pseudo almost periodic solutions on the addressed networks. In addition, computer simulations are produced to test the derived analytical findings.</p>


2019 ◽  
Vol 12 (2) ◽  
pp. 260-273
Author(s):  
Changjin Xu ◽  
Maoxin Liao ◽  
Peiluan Li

Purpose The purpose of this paper is to investigate the weighted pseudo-almost periodic solutions of shunting inhibitory cellular neural networks (SICNNs) with time-varying delays and distributed delays. Design/methodology/approach The principle of weighted pseudo-almost periodic functions and some new mathematical analysis skills are applied. Findings A set of sufficient criteria which guarantee the existence and exponential stability of the weighted pseudo-almost periodic solutions of the considered SICNNs are established. Originality/value The derived results of this paper are new and complement some earlier works. The innovation of this paper concludes two points: a new sufficient criteria guaranteeing the existence and exponential stability of the weighted pseudo-almost periodic solutions of SICNNs are established; and the ideas of this paper can be applied to investigate some other similar neural networks.


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