default search action
Rajendran Samidurai
Person information
- affiliation: Thiruvalluvar University, Department of Mathematics, Tamil Nadu, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [j42]S. Ramajayam, S. Rajavel, Rajendran Samidurai, Yang Cao
:
Finite-Time Synchronization for T-S Fuzzy Complex-Valued Inertial Delayed Neural Networks Via Decomposition Approach. Neural Process. Lett. 55(5): 5885-5903 (2023) - 2021
- [j41]Yang Cao, S. Ramajayam, Ramalingam Sriraman, Rajendran Samidurai:
Leakage delay on stabilization of finite-time complex-valued BAM neural network: Decomposition approach. Neurocomputing 463: 505-513 (2021) - 2020
- [j40]Yang Cao
Stability and stabilization analysis of nonlinear time-delay systems with randomly occurring controller gain fluctuation. Math. Comput. Simul. 171: 36-51 (2020) - [j39]Ramalingam Sriraman, Yang Cao, Rajendran Samidurai:
Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays. Math. Comput. Simul. 171: 103-118 (2020) - [j38]Yang Cao, Ramalingam Sriraman, N. Shyamsundarraj, Rajendran Samidurai:
Robust stability of uncertain stochastic complex-valued neural networks with additive time-varying delays. Math. Comput. Simul. 171: 207-220 (2020) - [j37]Ramalingam Sriraman, Grienggrai Rajchakit
Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis. Symmetry 12(6): 936 (2020) - [j36]Usa Humphries, Grienggrai Rajchakit
An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters. Symmetry 12(6): 1035 (2020) - [j35]Raman Manivannan
Design of Resilient Reliable Dissipativity Control for Systems With Actuator Faults and Probabilistic Time-Delay Signals via Sampled-Data Approach. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4243-4255 (2020)
2010 – 2019
- 2019
- [j34]Rajendran Samidurai
Leakage delay-dependent stability analysis for complex-valued neural networks with discrete and distributed time-varying delays. Neurocomputing 338: 262-273 (2019) - [j33]Rajendran Samidurai, Ramalingam Sriraman, Song Zhu
Stability and dissipativity analysis for uncertain Markovian jump systems with random delays via new approach. Int. J. Syst. Sci. 50(8): 1609-1625 (2019) - [j32]Ramalingam Sriraman, Rajendran Samidurai:
Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays. Int. J. Syst. Sci. 50(9): 1742-1756 (2019) - [j31]Yang Cao, Rajendran Samidurai, Ramalingam Sriraman:
Stability and Dissipativity Analysis for Neutral Type Stochastic Markovian Jump Static Neural Networks with Time Delays. J. Artif. Intell. Soft Comput. Res. 9(3): 189-204 (2019) - [j30]Rajendran Samidurai
Non-fragile sampled-data stabilization analysis for linear systems with probabilistic time-varying delays. J. Frankl. Inst. 356(8): 4335-4357 (2019) - [j29]Yang Cao, Rajendran Samidurai, Ramalingam Sriraman:
Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function. Math. Comput. Simul. 155: 57-77 (2019) - [j28]Rajendran Samidurai
Robust dissipativity analysis for uncertain neural networks with additive time-varying delays and general activation functions. Math. Comput. Simul. 155: 201-216 (2019) - [j27]Rajendran Samidurai, S. Rajavel, Jinde Cao
New Delay-Dependent Stability Criteria for Impulsive Neural Networks with Additive Time-Varying Delay Components and Leakage Term. Neural Process. Lett. 49(2): 761-785 (2019) - 2018
- [j26]Raman Manivannan
Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals. Inf. Sci. 424: 175-203 (2018) - [j25]S. Senthilraj
Passivity analysis of uncertain stochastic neural network with leakage and distributed delays under impulsive perturbations. Kybernetika 54(1): 3-29 (2018) - [j24]Rajendran Samidurai, Raman Manivannan
New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 48(4): 485-499 (2018) - 2017
- [j23]S. Rajavel, Rajendran Samidurai, Jinde Cao
Finite-time non-fragile passivity control for neural networks with time-varying delay. Appl. Math. Comput. 297: 145-158 (2017) - [j22]Ramachandran Raja
Improved Results on Delay-Dependent H∞ Control for Uncertain Systems with Time-Varying Delays. Circuits Syst. Signal Process. 36(5): 1836-1859 (2017) - [j21]Rajendran Samidurai, S. Rajavel, Jinde Cao, Ahmad Alsaedi, Fuad E. Alsaadi, Bashir Ahmad
Delay-partitioning approach to stability analysis of state estimation for neutral-type neural networks with both time-varying delays and leakage term via sampled-data control. Int. J. Syst. Sci. 48(8): 1752-1765 (2017) - [j20]Rajendran Samidurai, S. Senthilraj
Effects of leakage delays and impulsive control in dissipativity analysis of Takagi-Sugeno fuzzy neural networks with randomly occurring uncertainties. J. Frankl. Inst. 354(8): 3574-3593 (2017) - [j19]Raman Manivannan
Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals. J. Frankl. Inst. 354(11): 4353-4376 (2017) - [j18]Raman Manivannan
Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays. J. Frankl. Inst. 354(14): 6312-6340 (2017) - [j17]Raman Manivannan
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays. Neural Comput. Appl. 28(11): 3353-3369 (2017) - [j16]Raman Manivannan
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals. Neural Networks 87: 149-159 (2017) - 2016
- [j15]S. Senthilraj
New delay-interval-dependent stability analysis of neutral type BAM neural networks with successive time delay components. Neurocomputing 171: 1265-1280 (2016) - [j14]S. Senthilraj
Exponential passivity analysis of stochastic neural networks with leakage, distributed delays and Markovian jumping parameters. Neurocomputing 175: 401-410 (2016) - [j13]Rajendran Samidurai, S. Rajavel, Quanxin Zhu, Ramachandran Raja
Robust passivity analysis for neutral-type neural networks with mixed and leakage delays. Neurocomputing 175: 635-643 (2016) - [j12]Rajendran Samidurai, Raman Manivannan
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays. Neurocomputing 185: 191-201 (2016) - [j11]S. Senthilraj
New delay-interval-dependent stability criteria for static neural networks with time-varying delays. Neurocomputing 186: 1-7 (2016) - [j10]S. Senthilraj
Delay-dependent asymptotic stability criteria for genetic regulatory networks with impulsive perturbations. Neurocomputing 214: 981-990 (2016) - 2015
- [j9]Ramachandran Raja
Improved stability analysis of uncertain neutral type neural networks with leakage delays and impulsive effects. Appl. Math. Comput. 266: 1050-1069 (2015) - [j8]Rajendran Samidurai, Raman Manivannan
Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components. Appl. Math. Comput. 268: 743-762 (2015) - [j7]Ramachandran Raja
Improved stochastic dissipativity of uncertain discrete-time neural networks with multiple delays and impulses. Int. J. Mach. Learn. Cybern. 6(2): 289-305 (2015) - 2014
- [j6]Ramachandran Raja
Dynamic analysis of discrete-time BAM neural networks with stochastic perturbations and impulses. Int. J. Mach. Learn. Cybern. 5(1): 39-50 (2014) - [j5]Ramachandran Raja
Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays. Neural Comput. Appl. 25(3-4): 751-766 (2014) - 2013
- [j4]Ramachandran Raja
Dissipativity of discrete-time BAM stochastic neural networks with Markovian switching and impulses. J. Frankl. Inst. 350(10): 3217-3247 (2013) - 2012
- [j3]Ramachandran Raja
New delay dependent robust asymptotic stability for uncertain stochastic recurrent neural networks with multiple time varying delays. J. Frankl. Inst. 349(6): 2108-2123 (2012) - 2010
- [j2]Rathinasamy Sakthivel
Asymptotic Stability of Stochastic Delayed Recurrent Neural Networks with Impulsive Effects. J. Optim. Theory Appl. 147(3): 583-596 (2010)
2000 – 2009
- 2009
- [j1]Rajendran Samidurai, Rathinasamy Sakthivel
Global asymptotic stability of BAM neural networks with mixed delays and impulses. Appl. Math. Comput. 212(1): 113-119 (2009)
Coauthor Index
aka: Ramachandran Raja
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: