Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Daniel Ríos-Rivera"'
Autor:
Alma Y. Alanis, Jesus Hernandez-Barragan, Daniel Ríos-Rivera, Oscar D. Sanchez, Gabriel Martinez-Soltero
Publikováno v:
Axioms, Vol 12, Iss 12, p 1088 (2023)
In complex dynamical networks, pinning control techniques are often applied to control a small fraction of the nodes in order to stabilize the network with reduced control effort and energy, facilitating adequate development of the complex network. S
Externí odkaz:
https://doaj.org/article/bfd2d11f5ed94c5582fe9fbc5211b60a
Publikováno v:
Systems, Vol 10, Iss 6, p 204 (2022)
This paper proposes an impulsive control scheme for a complex network that helps reduce the spread of two epidemic diseases: influenza type A and COVID-19. Both are respiratory infections; thus, they have a similar form of transmission, and it is pos
Externí odkaz:
https://doaj.org/article/c6fcea647cc64f27ae97f46474522ddf
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4051 (2022)
Complex dynamical networks with time-varying connections have characteristics that allow a better representation of real-world complex systems, especially interest in their not static behavior and topology. Their applications reach areas such as comm
Externí odkaz:
https://doaj.org/article/3d967843160a47298582506cbc3a5394
Autor:
Jorge D. Rios, Daniel Ríos-Rivera, Jesus Hernandez-Barragan, Marco Pérez-Cisneros, Alma Y. Alanis
Publikováno v:
Machines, Vol 10, Iss 10, p 898 (2022)
Robot formation control has several advantages that make it interesting for research. Multiple works have been published in the literature using different control approaches. This work presents the control of different groups of robots to achieve a d
Externí odkaz:
https://doaj.org/article/460c234ec5cf42c083e64c640ed3751e
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2436 (2021)
In this paper, we present an impulsive pinning control algorithm for discrete-time complex networks with different node dynamics, using a linear algebra approach and a neural network as an identifier, to synthesize a learning control law. The model o
Externí odkaz:
https://doaj.org/article/662e7b38e1e643e781f0530f8ec0eb2e
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1388 (2020)
In this work, a neural impulsive pinning controller for a twenty-node dynamical discrete complex network is presented. The node dynamics of the network are all different types of discrete versions of chaotic attractors of three dimensions. Using the
Externí odkaz:
https://doaj.org/article/ab77314e01714034a88b71541521a54e
Publikováno v:
Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases ISBN: 9780323950640
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4162bf02ba7215b63b159ba6b19a6f26
https://doi.org/10.1016/b978-0-323-95064-0.00006-3
https://doi.org/10.1016/b978-0-323-95064-0.00006-3
Autor:
Manuel A. Acuña-Zegarra, Alma Y. Alanis, Francisco Aleman, Guillermo de Anda-Jáuregui, Sofia Bernal-Silva, Pablo Castañeda, Gerardo Chowell, Alexandre Colato, Andreu Comas-García, Ruth Corona-Moreno, Agustina D’Jorge, Liliana Durán-Polanco, Philip J. Gerrish, Alejandro H. González, Abba B. Gumel, Shuai Han, Mauricio Hernández-Ávila, Enrique Hernández-Lemus, Esteban A. Hernandez-Vargas, Yin Jiang, Gabriel Martinez-Soltero, Ramsés H. Mena, Rafael Meza, Calistus N. Ngonghala, Mayra Núñez-López, T.Y. Okosun, Ryosuke Omori, Gamaliel A. Palomo-Briones, Nancy F. Ramirez, Daniel Ríos-Rivera, Carlos E. Rodríguez, Erika E. Rodriguez Torres, Fernando Saldaña, Ignacio J. Sánchez, Mario Santana-Cibrian, Mario Siller, Sarah Skolnick, Anuj Srivastava, Horst Stoecker, Mayra R. Tocto-Erazo, Angélica Torres-Díaz, Jorge X. Velasco-Hernández, Lingxiao Wang, Rodrigo Zepeda-Tello, Kai Zhou
Publikováno v:
Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases ISBN: 9780323950640
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c24c53002a05bf0f2852a1883c15f76
https://doi.org/10.1016/b978-0-323-95064-0.09993-0
https://doi.org/10.1016/b978-0-323-95064-0.09993-0
Publikováno v:
Systems; Volume 10; Issue 6; Pages: 204
This paper proposes an impulsive control scheme for a complex network that helps reduce the spread of two epidemic diseases: influenza type A and COVID-19. Both are respiratory infections; thus, they have a similar form of transmission, and it is pos
Publikováno v:
IEEE Latin America Transactions. 19:866-873
This paper presents the mathematical model Susceptible-Infected-Recovered SIR with parameters that describe the COVID-19 dynamics. This model is based on a system of ordinary differential equations in which appropriate conditions and starting paramet