Chandrasekar Arunachalam
机构: Vellore Institute of Technology, Vellore
每年引用次数
引用次数
引用: 1,500
H-指数: 22
I10-指数 : 25
出版物: 27
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays
Rajan Rakkiyappan , Arunachalam Chandrasekar , Jinde Cao
IEEE Transactions on Neural Networks 26 ( 9) 2043 -2057
96
2015
Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time‐varying delays
Rajan Rakkiyappan , Chandrasekar Pradeep , Arunachalam Chandrasekar , Rangasamy Murugesu
Complexity 21 ( 5) 59 -72
12
2016
Synchronization of Markovian jump neural networks for sampled data control systems with additive delay components: Analysis of image encryption technique
Marimuthu Tamil Thendral , Thiruvannamalai Radhakrishnan Ganesh Babu , Arunachalam Chandrasekar , Yang Cao
Mathematical Methods in the Applied Sciences
2022
Improved Event-Triggered-Based Output Tracking for a Class of Delayed Networked T–S Fuzzy Systems
Muhammad Shamrooz Aslam , Thirunavukkarasu Radhika , Arunachalam Chandrasekar , Quanxin Zhu
International Journal of Fuzzy Systems 1 -14
3
2024
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses
R. Rakkiyappan , A. Chandrasekar , S. Lakshmanan , Ju H. Park
Neurocomputing 131 265 -277
40
2014
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control
A. Chandrasekar , R. Rakkiyappan , Fathalla A. Rihan , S. Lakshmanan
Neurocomputing 133 385 -398
56
2014
Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control
Quanxin Zhu , R. Rakkiyappan , A. Chandrasekar
Neurocomputing 136 136 -151
112
2014
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control
R. Rakkiyappan , A. Chandrasekar , S. Lakshmanan , Ju H. Park
Neurocomputing 121 365 -378
35
2013
Exponential synchronization criteria for Markovian jumping neural networks with time-varying delays and sampled-data control
R. Rakkiyappan , A. Chandrasekar , Ju H. Park , O.M. Kwon
Nonlinear Analysis: Hybrid Systems 14 16 -37
64
2014
Non-fragile robust synchronization for Markovian jumping chaotic neural networks of neutral-type with randomly occurring uncertainties and mode-dependent time-varying delays.
R. Rakkiyappan , A. Chandrasekar , G. Petchiammal
Isa Transactions 53 ( 6) 1760 -1770
9
2014
Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays
R. Rakkiyappan , A. Chandrasekar , S. Lakshmanan
International Journal of Systems Science 47 ( 10) 2247 -2263
21
2016
Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays.
R. Rakkiyappan , A. Chandrasekar , F.A. Rihan , S. Lakshmanan
Bellman Prize in Mathematical Biosciences 251 30 -53
21
2014
Corrigendum to “Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays” [Math. Biosci., 251 (2014) 30–53]
S. Lakshmanan , R. Rakkiyappan , A. Chandrasekar , F.A. Rihan
Bellman Prize in Mathematical Biosciences 255 91
2
2014
Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks
A. Chandrasekar , R. Rakkiyappan
Neurocomputing 173 1348 -1355
86
2016
Synchronization and periodicity of coupled inertial memristive neural networks with supremums
R. Rakkiyappan , E. Udhaya Kumari , A. Chandrasekar , R. Krishnasamy
Neurocomputing 214 ( 214) 739 -749
50
2016
Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions
A. Chandrasekar , R. Rakkiyappan , Xiaodi Li
Neurocomputing 202 67 -83
10
2016
Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach ☆
R. Rakkiyappan , Quanxin Zhu , A. Chandrasekar
Journal of The Franklin Institute-engineering and Applied Mathematics 351 ( 3) 1553 -1570
49
2014
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
A. Chandrasekar , R. Rakkiyappan , Jinde Cao , S. Lakshmanan
Neural Networks 57 79 -93
99
2014
Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach
A. Chandrasekar , R. Rakkiyappan , Jinde Cao
Neural Networks 70 27 -38
48
2015
Exponential H ∞ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities
JinDe Cao , R. Rakkiyappan , K. Maheswari , A. Chandrasekar
Science China Technological Sciences 59 ( 3) 387 -402
121
2016