Based on 2025 Journal Citation Reports
IF - Impact Factor as of 2024
LIST OF PUBLICATIONS IN REFEREED JOURNALS
[18] S. Priyanka, V. Vembarasan. Synchronization for uncertain neural networks with randomly occurring uncertainties and time-delay based on the sliding mode control. The European Physical Journal-Special Topics 2025 (234) 1623-1634 (Q2; IF: 2.3)
[17] V. Vembarasan. Passivity based on synchronization of T-S fuzzy energy resources system. Journal of Mathematics and Computer Science 2022 (25)(3) 269-283 (Q1; IF: 1.2)
[16] G. Velmurugan, R. Rakkiyappan, V. Vembarasan, Jinde Cao, Ahmed Alsaedi. Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay. Neural Networks 2017 (86) 42-53 (Q1; IF: 6.3)
[15] V. Vembarasan, P. Balasubramaniam, Chee Seng Chan. Robust Synchronization of Uncertain Chaotic Neural Networks with Randomly Occurring Uncertainties and Non-Fragile Output Coupling Delayed Feedback Controllers. Nonlinear Dynamics 2014 (78) 2031-2047 (Q1; IF: 6.0)
[14] V. Vembarasan, P. Balasubramaniam, Chee Seng Chan. Non-Fragile State Observer Design for Neural Networks with Markovian Jumping Parameters and Time-Delays. Nonlinear Analysis: Hybrid Systems 2014 (14) 61-73 (Q1; IF: 4.1)
[13] V. Vembarasan, P. Balasubramaniam, Er Meng Joo. H∞ state-feedback control of time-delay systems using reciprocally convex approach. Journal of Process Control 2014 (24) 892-904 (Q2; IF: 3.9)
[12] P. Balasubramaniam, V. Vembarasan, T. Senthilkumar. Approximate Controllability of Impulsive Fractional Integrodifferential Systems with Nonlocal Conditions in Hilbert Space. Numerical Functional Analysis and Optimization 2014 (35) 177-197 (Q2; IF: 1.4)
[11] V. Vembarasan, G. Nagamani, P. Balasubramaniam, Ju H. Park. State Estimation for Delayed Genetic Regulatory Networks Based on Passivity Theory. Mathematical Biosciences 2013 (244) 165-175 (Q2; IF: 1.8)
[10] V. Vembarasan, P. Balasubramaniam. Chaotic Synchronization of Rikitake System Based on T-S Fuzzy Control Techniques. Nonlinear Dynamics 2013 (74) 31-44 (Q1; IF: 6.0)
[9] S. Lakshmanan, V. Vembarasan, P. Balasubramaniam. Delay decomposition approach to state estimation of neural networks with mixed time-varying delays and Markovian jumping parameters. Mathematical Methods in the Applied Sciences 2013 (36) 395-412 (Q1; IF: 1.8)
[8] V. Vembarasan, P. Balasubramaniam, Kurunathan Ratnavelu, N. Kumaresan. Robust Stability Analysis of Delayed T-S Fuzzy Genetic Regulatory Networks. Physica Scripta 2012 (86) 065003 (Q2; IF: 2.6)
[7] P. Balasubramaniam, V. Vembarasan. Synchronization of recurrent neural networks with mixed time-delays via output coupling with delayed feedback. Nonlinear Dynamics 2012 (70) 677-691 (Q1; IF: 6.0)
[6] P. Balasubramaniam, V. Vembarasan, R. Rakkiyappan. Delay-dependent robust asymptotic state estimation of Takagi-Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays. Expert Systems with Applications 2012 (39) 472-481 (Q1; IF: 7.5)
[5] P. Balasubramaniam, V. Vembarasan, R. Rakkiyappan. Global robust asymptotic stability analysis of uncertain switched Hopfield neural networks with time delay in the leakage term. Neural Computing and Applications 2012 (21) 1593-1616 (Q2; IF: 4.5)
[4] P. Balasubramaniam, V. Vembarasan. Robust stability of uncertain fuzzy BAM neural networks of neutral-type with Markovian jumping parameters and impulses. Computers and Mathematics with Applications 2011 (62) 1838-1861 (Q1; IF: 2.5)
[3] P. Balasubramaniam, V. Vembarasan. Asymptotic stability of BAM neural networks of neutral-type with impulsive effects and time delay in the leakage term. International Journal of Computer Mathematics 2011 (88) 3271-3291 (Q2; IF: 1.3)
[2] P. Balasubramaniam, V. Vembarasan, R. Rakkiyappan. Leakage Delays in T-S Fuzzy Cellular Neural Networks. Neural Processing Letters 2011 (33) 111-136 (Q3; IF: 2.8)
[1] P. Balasubramaniam, V. Vembarasan, R. Rakkiyappan. Delay-dependent robust exponential state estimation of Markovian jumping fuzzy Hopfield neural networks with mixed random time-varying delays. Communications in Nonlinear Science and Numerical Simulation 2011 (16) 2109-2129 (Q1; IF: 3.8)
BOOKS / EDITED BOOKS PUBLISHED
[1] S. Yugesh, Om P. Ahuja, G. Kalpana, V. Vembarasan, “Recent Developments in Mathematical Analysis and Computing”, AIP Conference Proceedings 2095, 010001 (2019); ISBN: 978-0-7354-1825-7.
PUBLICATIONS IN NATIONAL / INTERNATIONAL CONFERENCE PROCEEDINGS
[4] V. M. Revathi, M. Karuppusamy, V. Vembarasan. Non-fragile H∞ filtering for uncertain systems with Time-varying delays, Proceedings of International Web Conference on Advanced Materials Science and Engineering, Materials Today: Proceedings, Volume 47, Part 9, 2021, Pages 2148-2153.
[3] Ali Ahmadian, Chee Seng Chan, S. Salahshour, Vembarasan Vaitheeswaran. FTFBE: A Numerical Approximation for Fuzzy Time-Fractional Bloch Equation, Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing, China, July 6-11, 2014, pp. 418-423, ISBN: 978-1-4799-2073-0.
[2] V. Vembarasan, P. Balasubramaniam. Stability Analysis of T-S Fuzzy Genetic Regulatory Networks with Time-Delays, Proceedings of International Conference on Mathematical Modelling and Applied Soft Computing, Volume - II, July 11-13, 2012. (Editors: S. R. K. Prasad, R. Prabhakar, V. Selladurai, and K. S. Ramaswami) Shanga Verlag, Coimbatore, India, pp. 559-574, ISBN: 978-81-923752-2-9.
[1] V. Vembarasan, P. Balasubramaniam. LMI Optimization Approach on Stability for Delayed T-S Fuzzy Systems, Proceedings of International Conference on Computational and Mathematical Models Dec 19-21, 2011. (Editors: R. Nadarajan, R. S. Lekshmi, and G. Sai Sundara Krishnan) Narosa Publishing House, New Delhi, India, pp. 245-254, ISBN: 978-81-8487-164-7.
PAPER PRESENTATIONS IN NATIONAL / INTERNATIONAL CONFERENCES
[6] C. Kalaivani, K. Renuga, V. Vembarasan presented a paper entitled Stability Analysis of Bi-directional Associative Memory Neural Networks with Time-varying delays via Second-order Reciprocally Convex Approach in the International Conference on Pure and Applied Sciences (IConPAS-2K25) organized by the Sharnbasva University, Kalaburagi, Karnataka, India; jointly organized by Sharnbasveshwar College of Science, Kalaburagi, Karnataka, India held from January 04-05, 2025.
[5] S. Priyanka, V. Vembarasan presented a paper titled "Projective synchronization and control of Covid-19 model based on T-S fuzzy techniques" in the International Conference on Applied Mathematical Sciences for Emerging Technologies - 2024 (ICAMSET-2024) organized by the Department of Mathematics, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Perambalur, Tamil Nadu, India; jointly organized with SIIRT University Turkey held from December 13-14, 2024.
[4] S. Priyanka, V. Vembarasan presented a paper titled "Synchronization for uncertain neural networks with randomly occurring uncertainties and time-delay based on the sliding mode control" in the International Conference on Emerging Frontiers in Nonlinear Complex Systems, Computational Intelligence and their Applications held at the Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India, during February 07-09, 2024.
[3] S. Priyanka, V. Vembarasan presented a paper titled "Stability Analysis of Neural Networks with Time-varying Delays via Generalized Multiple-Integral Inequality Technique" in the International Conference on Modeling, Simulation and Optimization of Energy Systems (MSOES 2023) held at the Canadian University Dubai, UAE, during June 17-18, 2023, jointly organized by Canadian University Dubai, UAE, United Arab Emirates University, Al Ain, UAE and Dr B. R. Ambedkar National Institute of Technology Jalandhar, India.
[2] C. Kalaivani, K. Renuga, V. Vembarasan presented a paper entitled Stability Analysis of Neural Networks with Time-varying Delays via Second-order Reciprocally Convex Approach in the International Conference on Modeling, Simulation and Optimization of Energy Systems (MSOES 2023) held at the Canadian University Dubai, UAE, during June 17-18, 2023, jointly organized by Canadian University Dubai, UAE, United Arab Emirates University, Al Ain, UAE and Dr B. R. Ambedkar National Institute of Technology Jalandhar, India.
[1] V. M. Revathi, V. Vembarasan, M. Karuppusamy presented a paper entitled Advanced H infinity filtering for linear systems via a generalized integral inequality at the International Conference on Advanced Materials and Technologies for Industry 4.0 - "ICAMT 4.0" organized by the Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, held online during 23rd & 24th March 2023.