Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Rajendran Samidurai"'
Autor:
Usa Humphries, Grienggrai Rajchakit, Ramalingam Sriraman, Pramet Kaewmesri, Pharunyou Chanthorn, Chee Peng Lim, Rajendran Samidurai
Publikováno v:
Symmetry, Vol 12, Iss 6, p 1035 (2020)
The main focus of this research is on a comprehensive analysis of robust dissipativity issues pertaining to a class of uncertain stochastic generalized neural network (USGNN) models in the presence of time-varying delays and Markovian jumping paramet
Externí odkaz:
https://doaj.org/article/9b28c04598cf4c43a4e944a78d8de9e0
Autor:
Ramalingam Sriraman, Grienggrai Rajchakit, Chee Peng Lim, Pharunyou Chanthorn, Rajendran Samidurai
Publikováno v:
Symmetry, Vol 12, Iss 6, p 936 (2020)
Stochastic disturbances often cause undesirable characteristics in real-world system modeling. As a result, investigations on stochastic disturbances in neural network (NN) modeling are important. In this study, stochastic disturbances are considered
Externí odkaz:
https://doaj.org/article/c14134ddcac447feb3e0e4f52137a94b
Autor:
Usa Humphries, Grienggrai Rajchakit, Pramet Kaewmesri, Pharunyou Chanthorn, Ramalingam Sriraman, Rajendran Samidurai, Chee Peng Lim
Publikováno v:
Mathematics, Vol 8, Iss 5, p 801 (2020)
We study the global asymptotic stability problem with respect to the fractional-order quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in this paper. Whether the real and imaginary parts of quaternion-valued activat
Externí odkaz:
https://doaj.org/article/b5a51801ae5941c8aee2fddc0b99c0af
Autor:
Usa Humphries, Grienggrai Rajchakit, Pramet Kaewmesri, Pharunyou Chanthorn, Ramalingam Sriraman, Rajendran Samidurai, Chee Peng Lim
Publikováno v:
Mathematics, Vol 8, Iss 5, p 815 (2020)
In this paper, we study the mean-square exponential input-to-state stability (exp-ISS) problem for a new class of neural network (NN) models, i.e., continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays. Fi
Externí odkaz:
https://doaj.org/article/b360a6c109654891b99e45958bbad7b1
Autor:
Sathasivam Rajavel, Rajendran Samidurai, Sebastiyan Anthuvan Jerome Kilbert, Jinde Cao, Ahmed Alsaedi
Publikováno v:
Nonlinear Analysis, Vol 23, Iss 2 (2018)
This paper is concerned with the problem of nonfragile mixed H∞ and passivity control for neural networks with successive time-varying delay components. We construct a suitable Lyapunov–Krasovskii function with triple and quadruple integral terms
Externí odkaz:
https://doaj.org/article/57a812eab1154bdfa0506bbde218538d
Publikováno v:
Neurocomputing. 463:505-513
This paper investigates the finite-time stabilization (FTS) problem of leakage delay on complex-valued bidirectional associative memory (BAM) neural networks (CVBAMNNs) with time delays via decomposition approach. This analysis is on the basis of som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d66a3f41551ddeeb0ac239bdb8befb4
https://doi.org/10.1016/j.neucom.2021.08.056
https://doi.org/10.1016/j.neucom.2021.08.056
Publikováno v:
International Journal of Nonlinear Sciences and Numerical Simulation. 23:661-684
This article discusses the dissipativity analysis of stochastic generalized neural network (NN) models with Markovian jump parameters and time-varying delays. In practical applications, most of the systems are subject to stochastic perturbations. As
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6d8de052a6b100c60dcad74ba6d4dc
https://doi.org/10.1515/ijnsns-2019-0244
https://doi.org/10.1515/ijnsns-2019-0244
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50:4243-4255
The issue of resilient reliable dissipativity performance index for systems including actuator faults and probabilistic time-delay signals via sampled-data control approach is investigated. Specifically, random variables governed by the Bernoulli dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09869fa071e6dbccd3a9ca7ff770380b
https://doi.org/10.1109/tsmc.2018.2846645
https://doi.org/10.1109/tsmc.2018.2846645
Publikováno v:
Mathematics and Computers in Simulation. 171:103-118
This paper studies the global asymptotic stability problem for a class of stochastic complex-valued neural networks (SCVNNs) with probabilistic time-varying delays as well as stochastic disturbances. Based on the Lyapunov–Krasovskii functional (LKF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4180927c957bdf6d38ed77e9ede9523
https://doi.org/10.1016/j.matcom.2019.04.001
https://doi.org/10.1016/j.matcom.2019.04.001
Publikováno v:
Mathematics and Computers in Simulation. 171:36-51
The problem of stability and stabilization analysis for a class of delayed nonlinear systems is studied in this manuscript. The nonlinear function is forever presumed to comply with the Lipschitz condition in the real domain. Furthermore, non-fragile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf9246c9ae3c0b0a10423c9c59b3193
https://doi.org/10.1016/j.matcom.2019.03.002
https://doi.org/10.1016/j.matcom.2019.03.002