R. Saravanakumar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

State Estimation

Exponential Stability

Factors Affecting

Top Venues

Neural Comput. Appl.

Int. J. Syst. Sci.

Int. J. Cloud Comput.

Publications

Djabeur Mohamed Seifeddine Zekrifa, R. Saravanakumar, Sruthi Nair, Krishnagandhi Pachiappan, D. Vetrithangam, T. Kalavathi Devi, T. Ganesan, M. Rajendiran, S. Rukmani Devi
Securing energy horizons: Cloud-driven based machine learning methods for battery management systems. J. Intell. Fuzzy Syst. 46 (1) (2024)
Meshal Alharbi, S. Neelakandan, Sachi Gupta, R. Saravanakumar, Siripuri Kiran, A. Mohan
Mobility aware load balancing using Kho-Kho optimization algorithm for hybrid Li-Fi and Wi-Fi network. Wirel. Networks 30 (6) (2024)
G. Mathesh, R. Saravanakumar
A Novel Intelligent Controller-Based Power Management System With Instantaneous Reference Current in Hybrid Energy-Fed Electric Vehicle. IEEE Access 11 (2023)
R. Saravanakumar, Pradeep Bedi, Oruganti Hemakesavulu, N. Thangadurai, E. Poornima, Lakshmi Thangavelu, D. Jayadevappa
IoB: Sensors for Wearable Monitoring and Enhancing Health Care Systems. IEEE Instrum. Meas. Mag. 25 (3) (2022)
A. C. Kaladevi, R. Saravanakumar, K. Veena, V. Muthukumaran, N. Thillaiarasu, S. Satheesh Kumar
Data Analytics on Eco-Conditional Factors Affecting Speech Recognition Rate of Modern Interaction Systems. J. Mobile Multimedia 18 (4) (2022)
T. Lalitha, R. Saravanakumar
Mobility of sink-based data collection protocol for energy balancing in WSN. Int. J. Cloud Comput. 10 (1/2) (2021)
R. Saravanakumar, V. R. Vijaykumar
A compacted triple band antenna design for GSM, Wi-Fi and WiMAX communication schemes for information computation system. Int. J. Bus. Inf. Syst. 34 (1) (2020)
M. Syed Ali, R. Vadivel, R. Saravanakumar
Event-triggered state estimation for Markovian jumping impulsive neural networks with interval time-varying delays. Int. J. Control 92 (2) (2019)
S. Saravanan, M. Syed Ali, R. Saravanakumar
Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks. Neural Process. Lett. 49 (2) (2019)
R. Saravanakumar, Grienggrai Rajchakit, Choon Ki Ahn, Hamid Reza Karimi
Exponential Stability, Passivity, and Dissipativity Analysis of Generalized Neural Networks With Mixed Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 49 (2) (2019)
R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo
Exponential dissipativity criteria for generalized BAM neural networks with variable delays. Neural Comput. Appl. 31 (7) (2019)
Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays. Neural Comput. Appl. 30 (11) (2018)
M. Syed Ali, Nallappan Gunasekaran, R. Saravanakumar
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control. Neural Comput. Appl. 30 (2) (2018)
R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Zhengrong Xiang, Young Hoon Joo
Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays. Neural Comput. Appl. 30 (12) (2018)
Grienggrai Rajchakit, R. Saravanakumar
Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays. Neural Comput. Appl. 29 (2) (2018)
Manimozhi Muthukumarasamy, R. Saravanakumar
Sensor and actuator bias estimation using multi model approach. Comput. Electr. Eng. 57 (2017)
R. Saravanakumar, M. Syed Ali, Hamid Reza Karimi
Robust H∞ control of uncertain stochastic Markovian jump systems with mixed time-varying delays. Int. J. Syst. Sci. 48 (4) (2017)
Grienggrai Rajchakit, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi
Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals. Neural Networks 86 (2017)
R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo
Extended dissipativity of generalised neural networks including time delays. Int. J. Syst. Sci. 48 (11) (2017)
M. Syed Ali, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi
filtering for neural networks with leakage delay and mixed time-varying delays. Inf. Sci. 388 (2017)
R. Saravanakumar, M. Syed Ali, Jinde Cao, He Huang
state estimation of generalised neural networks with interval time-varying delays. Int. J. Syst. Sci. 47 (16) (2016)
M. Syed Ali, R. Saravanakumar
performance analysis of uncertain Markovian jump systems with overlapping time-varying delays. Complex. 21 (S1) (2016)
R. Saravanakumar, M. Syed Ali, Mingang Hua
state estimation of stochastic neural networks with mixed time-varying delays. Soft Comput. 20 (9) (2016)
M. Syed Ali, R. Saravanakumar, Sabri Arik
state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional. Neurocomputing 171 (2016)
M. Syed Ali, R. Saravanakumar, Jinde Cao
New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays. Neurocomputing 171 (2016)
M. Syed Ali, Sabri Arik, R. Saravanakumar
Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays. Neurocomputing 158 (2015)
M. Syed Ali, R. Saravanakumar, Quanxin Zhu
control of uncertain neural networks with discrete interval and distributed time-varying delays. Neurocomputing 166 (2015)
M. Syed Ali, R. Saravanakumar
control of uncertain systems with distributed time-varying delays. Appl. Math. Comput. 249 (2014)