Zobrazeno 1 - 10
of 192
pro vyhledávání: '"G. Rajchakit"'
Publikováno v:
AIMS Mathematics, Vol 7, Iss 5, Pp 9424-9442 (2022)
Pythagorean neutrosophic set is an extension of a neutrosophic set which represents incomplete, uncertain and imprecise details. Pythagorean neutrosophic graphs (PNG) are more flexible than fuzzy, intuitionistic, and neutrosophic models. PNG are simi
Externí odkaz:
https://doaj.org/article/9bb4538c47fe4c58999daced5777bd03
Publikováno v:
IEEE Access, Vol 10, Pp 23063-23073 (2022)
This paper examines the stabilization problem and membership function dependent $H_\infty $ performance analysis for uncertain hydraulic turbine governing systems with stochastic actuator faults and time-varying delays via sampled-data control. At fi
Externí odkaz:
https://doaj.org/article/0e99acccece34f9d9f355c151281a148
Autor:
Bundit Unyong, Vediyappan Govindan, S. Bowmiya, G. Rajchakit, Nallappan Gunasekaran, R. Vadivel, Chee Peng Lim, Praveen Agarwal
Publikováno v:
AIMS Mathematics, Vol 6, Iss 2, Pp 1607-1623 (2021)
In this paper, we study the Hyers-Ulam stability with respect to the linear differential condition of fourth order. Specifically, we treat ${\psi}$ as an interact arrangement of the differential condition, i.e., where ${\psi} \in c^4 [{\ell}, {
Externí odkaz:
https://doaj.org/article/a7fbf4d867404700b354c2510288b4d8
Publikováno v:
Axioms, Vol 12, Iss 8, p 730 (2023)
This manuscript explores the analysis of passivity and synchronization criteria for a complex fractional-order dynamical network model with derivative couplings and time-varying delays. The passivity problem of the proposed network model is deduced u
Externí odkaz:
https://doaj.org/article/f8aec04776624bc5a0bdcdf85d980473
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-25 (2021)
Abstract This paper investigates the problem of finite-/fixed-time synchronization for Clifford-valued recurrent neural networks with time-varying delays. The considered Clifford-valued drive and response system models are firstly decomposed into rea
Externí odkaz:
https://doaj.org/article/32522b820f014b838a8dc7bc1308875a
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-21 (2021)
Abstract This paper considers the Clifford-valued recurrent neural network (RNN) models, as an augmentation of real-valued, complex-valued, and quaternion-valued neural network models, and investigates their global exponential stability in the Lagran
Externí odkaz:
https://doaj.org/article/4e12609704b54f67bf137262dffbdc86
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-21 (2021)
Abstract In this study, we investigate the global exponential stability of Clifford-valued neural network (NN) models with impulsive effects and time-varying delays. By taking impulsive effects into consideration, we firstly establish a Clifford-valu
Externí odkaz:
https://doaj.org/article/b3b9836bed5b4c3e9a8ca9b5d98781de
Publikováno v:
IEEE Access, Vol 9, Pp 111050-111061 (2021)
We study the issue of finite-time synchronization pertaining to a class of Clifford-valued neural networks with discrete and infinite distributed delays and impulse phenomena. Since multiplication of Clifford numbers is of non-commutativity, we decom
Externí odkaz:
https://doaj.org/article/62b94031b0f04c66bdae832f7bd9c744
Autor:
Sindhe Phani Kumar, R. Anandan, Fairouz Tchier, G. Rajchakit, Choonkil Park, Ferdous M. O. Tawfiq
Publikováno v:
Journal of Taibah University for Science, Vol 15, Iss 1, Pp 746-756 (2021)
The significant security assessment is rising because the vast amount of data can be renewed continuously in the cloud. Cloud information is clustered and refreshed productively using a progressive clustering procedure over the data. To verify the se
Externí odkaz:
https://doaj.org/article/c7bf943df63e43139abe04126374e069
Publikováno v:
Complexity, Vol 2022 (2022)
In this study, we investigate the effectiveness of a robust sampled-data H∞ load frequency control (LFC) scheme for power systems with randomly occurring time-varying delays. By using the input-delay technique, the sampled-data LFC model is reformu
Externí odkaz:
https://doaj.org/article/e4191fa378844789b7e025f2f1d2d817