Browsing by Author "80331853-3b81-4222-becc-5d98810c9d8f"
Now showing items 1-7 of 7
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Coronel, Aníbal; Maulén, Christopher; Pinto, Manuel; Sepúlveda, Daniel (Southwest Missouri State University, 2017)Existence of almost automorphic solutions for abstract delayed differential equations is established. Using ergodicity, exponential dichotomy and Bi-almost automorphicity on the homogeneous part, sufficient conditions for ...
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Tyagi, Swati; Abbas, Syed; Pinto Jiménez, Manuel; Sepúlveda, Daniel (Birkhauser Verlag AG, 2017)© 2016, Springer International Publishing. In this paper, we study a class of fractional-order cellular neural network containing delay. We prove the existence and uniqueness of the equilibrium solution followed by ...
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Coronel, Aníbal; Maulén, Christopher; Pinto Jiménez, Manuel; Sepúlveda, Daniel (Academic Press, 2017)In this paper, ordinary and exponential dichotomies are defined in differential equations with equations with piecewise constant argument of general type. We prove the asymptotic equivalence between the bounded solutions ...
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Amster, Pablo; Robledo, Gonzalo; Sepúlveda, Daniel (IOP Publishing, 2020)This paper introduces a new consideration in the well known chemostat model of a one-species with a periodic input of single nutrient with period omega, which is described by a system of differential delay equations. The ...
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Amster, Pablo; Robledo Veloso, Gonzálo; Sepúlveda, Daniel (Elsevier, 2020)This paper proposes an omega-periodic version of the Ellermeyer model of delayed chemostat. We obtain a sufficient condition ensuring the existence of a positive omega-periodic solution. Our proof is based on the application ...
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Pinto Jiménez, Manuel; Sepúlveda, Daniel; Torres, Ricardo (University of Szeged, 2018)© 2018, University of Szeged. All rights reserved. In this paper we study a periodic impulsive Hopfield-type neural network system with piecewise constant argument of generalized type. Under general conditions, existence ...
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Tyagi, Swati; Abbas, Syed; Pinto Jiménez, Manuel; Sepúlveda, Daniel (De Gruyter, 2017-01)In this paper, we study convergence characteristics of a class of continuous time fractional-order cellular neural network containing delay. Using the method of Lyapunov and Mittag-Leffler functions, we derive sufficient ...