Zobrazeno 1 - 10
of 209
pro vyhledávání: '"P. Hammachukiattikul"'
Autor:
Prasantha Bharathi Dhandapani, Jayakumar Thippan, Bundit Unyong, R. Vadivel, P. Hammachukiattikul
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
The goal of this paper is to find the best of two sixth-order methods, namely, RK-Huta and RK–Butcher methods for solving the fuzzy hybrid systems. We state a necessary definition and theorem in terms of consistency for convergence, and finally, we
Externí odkaz:
https://doaj.org/article/8324ae97669e444d8179f5ab665ff389
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
Publikováno v:
AIMS Mathematics, Vol 6, Iss 7, Pp 7386-7420 (2021)
This paper investigates the queue-dependent service rates(QDSR) in the stochastic queueing-inventory system(SQIS). This SQIS consists a single server service channel, S number of inventories, and a finite queue. An arriving customer gets the service
Externí odkaz:
https://doaj.org/article/6e8aeaa4e5f04219bb03a4b1d19a7432
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
Autor:
S. Vinoth, R. Sivasamy, K. Sathiyanathan, Grienggrai Rajchakit, P. Hammachukiattikul, R. Vadivel, Nallappan Gunasekaran
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-20 (2021)
Abstract Dynamical analysis of a delayed tri-trophic food chain consisting of prey, an intermediate, and a top predator is investigated in this paper. The additive Allee effect is introduced in the prey population, and it is assumed that there is a t
Externí odkaz:
https://doaj.org/article/02213a4b75494a7ebdee043ca74bd3c0
Autor:
R. Anbuvithya, S. Dheepika Sri, R. Vadivel, Nallappan Gunasekaran, Porpattama Hammachukiattikul
Publikováno v:
IEEE Access, Vol 9, Pp 31454-31466 (2021)
This paper deals with the extended dissipativity and non-fragile synchronization of delayed recurrent neural networks (RNNs) with multiple time-varying delays and sampled-data control. A suitable Lyapunov-Krasovskii Functional (LKF) is built up to pr
Externí odkaz:
https://doaj.org/article/e40ecd256ec34143bad0523bed3074e6
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:
G. Narayanan, M. Syed Ali, Md Irshad Alam, Grienggrai Rajchakit, Nattakan Boonsatit, Pankaj Kumar, Porpattama Hammachukiattikul
Publikováno v:
IEEE Access, Vol 9, Pp 130862-130883 (2021)
This paper addresses an adaptive fuzzy feedback controller design problem for finite-time Mittag-Leffler synchronization (FTMLS) of fractional-order quaternion-valued reaction-diffusion T-S fuzzy molecular modeling of delayed neural networks. A novel
Externí odkaz:
https://doaj.org/article/aa8f8570d0bd4cdc9d24e4f893423cc7