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  1.  M. Syed Ali, R. Saravanakumar, Improved Delay-dependent robust H∞ control of uncertain Stochastic systems with Interval Time-varying and Distributed delays, Chinese Physics B, Volume 23 (12), Article ID:120201, (2014).

  2. M. Syed Ali, R. Saravanakumar,  Novel delay-dependent robust H∞ control of uncertain systems with distributed time-varying delays, Applied Mathematics and Computation, Volume 249, Pages 510-520, (2014).

  3. M. Syed Ali, R. Saravanakumar, Augmented Lyapunov approach to H∞ state estimation of static neural networks with discrete and distributed time-varying delays, Chinese Physics B, Volume 24 (5), Article ID:050201, (2015).

  4. 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, Volume 158, Pages 167-173, (2015).

  5. M. Syed Ali, R. Saravanakumar, Quanxin Zhu, Less conservative delay-dependent H∞ control of uncertain neural networks with discrete interval and distributed time-varying delays,  Neurocomputing, Volume 166, Pages 84-95, (2015).

  6. M. Syed Ali, R. Saravanakumar,  Robust H∞ control of uncertain systems with two additive time-varying delays, Chinese Physics B, Volume 24 (9), Article ID:090202, (2015). 

  7. M. Syed Ali, R. Saravanakumar, Sabri Arik, Novel H∞ state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional,  Neurocomputing, Volume 171, Pages 949-954, (2016).

  8. 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, Volume 171, Pages 1533-1547, (2016).

  9. R. Saravanakumar, M. Syed Ali, Mingang Hua, H∞ state estimation of stochastic neural networks with mixed time-varying delays, Soft Computing, Volume 20, Pages 3475-3487, (2016).

  10. R. Saravanakumar, M. Syed Ali, Jinde Cao, He Huang, H∞ state estimation of generalized neural networks with interval time-varying delays, Int. J. Syst. Sci, Volume 47 (16), Pages 3475-3487, (2016).

  11. M. Syed Ali, R. Saravanakumar, Improved H∞ performance analysis of uncertain Markovian jump systems with overlapping time-varying delays, Complexity, DOI: 10.1002/cplx.21760.

  12. R. Saravanakumar, M. Syed Ali, Choon Ki Ahn, Hamid Reza Karimi, Peng Shi, Stability of Markovian jump generalized neural networks with interval time-varying delays, IEEE TNNLS, DOI:10.1109/TNNLS.2016.2552491

  13. R. Saravanakumar, M. Syed Ali, Robust H∞ control for uncertain Markovian jump systems with mixed delays, Chinese Physics B, Volume 25, No. 7 (2016) Article ID:070201

  14.  Grienggrai Rajchakit, R. Saravanakumar, Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays, Neural Computing and Applications,  Volume 29 (2), Pages 483-492, (2018).

  15. 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, Volume 48 (4), Pages 862-872, (2017). 

  16. 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, Volume  86, Pages 10-17, (2017).

  17. M. Syed Ali, N. Gunasekaran, R. Saravanakumar,  Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control, Neural Computing and Applications, (2016) DOI: 10.1007/s00521-016-2682-0 

  18. M. Syed Ali, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi, H∞ Filtering for Stochastic Neural Networks with Leakage Delay and Mixed Time-Varying Delays, Information Sciences, Volume  388-389, Pages 118-134, (2017).

  19. T. Radhika, G. Nagamani, Q. Zhu, S. Ramasamy, R. Saravanakumar,  Further Results on Dissipativity Analysis for Markovian Jump Neural Networks With Randomly Occurring Uncertainties and Leakage Delays, Neural Computing and Applications, (2017), DOI: 10.1007/s00521-017-2942-7

  20. 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 Computing and Applications, (2017), DOI:10.1007/s00521-017-2974-z.

  21. R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo, Extended Dissipativity of Generalized Neural Networks Including Time Delays,  Int. J. Syst. Sci, Volume 48 (11), Pages 2311-2320, (2017). 

  22. R. Saravanakumar, M. Syed Ali, He Huang, Jinde Cao, Young Hoon Joo, Robust H∞ state-feedback control for nonlinear uncertain systems with mixed time-varying delays, Int. J. Cont., Automation & Systems, Volume 16 (1), Pages 225-223, (2018). 

  23. R. Saravanakumar, Grienggrai Rajchakit, Choon Ki Ahn, Hamid Reza Karimi, Exponential Stability, Passivity and Dissipativity Analysis of Generalized Neural Networks Including Time-Varying Distributed Delayed States , IEEE SMCA, (2017), DOI: 10.1109/TSMC.2017.2719899.

  24. 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, (2017), DOI: 10.1080/00207179.2017.1350884

  25. R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo, Exponential Dissipativity Criteria for Generalized BAM Neural Networks with Variable Delays, Neural Computing, and Applications, (2017),  DOI: 10.1007/s00521-017-3224-0

  26. R. Saravanakumar, S. B. Stojanovic, D. D. Radosavljevic, Choon Ki Ahn, Hamid Reza Karimi, Finite-Time passivity-based stability criteria for delayed discrete-time neural networks via new weighted summation inequalities, IEEE TNNLS, (2018), DOI: 10.1109/TNNLS.2018.2829149

  27. S. Saravanan, M. Syed Ali, R. Saravanakumar, Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks,  Neural Processing Letters,  49 (2), 573-591, 2019.

  28. M. Syed Ali, R.Vadivel, R. Saravanakumar, Design of robust reliable control for T-S fuzzy Markovian jumping delayed neutral type neural networks with probabilistic actuator faults and leakage delays: An event-triggered communication scheme, ISA Transactions, 77, 30-48, 2018.

  29. R. Saravanakumar, Hyung Soo Kang, Choon Ki Ahn, Hiaojie Su, Hamid Reza Karimi, Robust Stabilization of Delayed Neural Networks: Dissipativity Learning Approach, IEEE TNNLS, 30 (3), 913-922, 2019. 

  30.  N. Gunasekaran, R. Saravanakumar, Young Hoon Joo, Han Sol Kim, Fuzzy Complex Dynamical Networks with Additive Time Varying Coupling Delay Subject to Average Dwell-Time via Sampled-Data Control, 374, 40-59, 2019. 

  31. Rupak Datta, Rajeeb Dey, Baby Bhattacharya, R. Saravanakumar, Choon Ki Ahn, A new double integral inequality with application to stability analysis for linear retarded systems, IET CTA, Vol. 13 Iss. 10, pp. 1514-1524,  2019.

  32. R. Saravanakumar, Young Hoon Joo, Fuzzy dissipative and observer control for wind generator systems: a fuzzy time-dependent LKF approach, Nonlinear Dynamics, 97 (4), 2189-2199, 2019

  33. N. Gunasekaran, R. Saravanakumar, M. Syed Ali, Q. Zhu, Exponential Sampled-data control for T-S Fuzzy Systems: Application to Chua’s circuit, Int. J. Syst. Sci,  50 (16), 2979-2992, 2019.

  34. R. Datta, R. Dey, B. Bhattacharya, R. Saravanakumar, Tsung-Chih Lin, New delay-range-dependent stability condition for fuzzy Hopfield neural networks via Wirtinger inequality, Journal of Intelligent & Fuzzy Systems, 38 (5), 6099-6109, 2020

  35. R. Datta, R. Dey, B. Bhattacharya, R. Saravanakumar, O.M. Kwon, Stability and Stabilization of T–S Fuzzy Systems with Variable Delays via New Bessel–Legendre Polynomial Based Relaxed Integral Inequality, Information Sciences, 522, 99-123, 2020.

  36. H. Mukaidani, R. Saravanakumar, Hua Xu, Stackelberg Strategy for Markov Jump Linear Stochastic Systems via Static Output Feedback,  IET CTA, (2019), Vol. 14(9), pp. 1246-1254,  2020.

  37. R. Saravanakumar, H. Mukaidani and P. Muthukumar, Extended dissipative state estimation of delayed stochastic neural networks, Neurocomputing, 406, 244-252, 2020

  38. H. Mukaidani, R. Saravanakumar, H. Xu, and W. Zhuang, “Stackelberg Strategy for Uncertain Markov Jump Delay Stochastic Systems", IEEE Control systems Letters, 4 (4), 1006-1011, 2020.

  39. A. Kazemy, R. Saravanakumar, J. Lam, Master-slave synchronization of neural networks subject to mixed-type communication attacks, Information Sciences, Vol. 560, pp. 20-34,  2021.

  40. R Vadivel, P Hammachukiattikul, N Gunasekaran, R. Saravanakumar, H. Datta, Strict dissipativity synchronization for delayed static neural networks: An event-triggered scheme, Chaos, Solitons & Fractals, Vol. 150, pp. 1111212,  2021.

  41. R. Datta, R. Saravanakumar, R. Dey, B. Bhattacharya, C. K. Ahn, Improved stabilization criteria for Takagi–Sugeno fuzzy systems with variable delays, Information Sciences, Vol. 579, pp. 591-606,  2021.

  42. R. Saravanakumar, A Amini, R Datta, Y. Cao, Reliable Memory Sampled-Data Consensus of Multi-agent Systems with Nonlinear Actuator Faults, IEEE Transactions on Circuits and Systems II: Express Briefs, to appear 

Publications in SCI Journals:

- Claude Bernard -

“The joy of discovery is certainly the liveliest that the mind of man can ever feel”

PUBLICATIONS

Publications in Conference procedings:

  1.  R. Saravanakumar and M. Syed Ali, Delay-dependent stability criteria of neural networks with interval and distributed time-varying delays, Proceedings of the Elsevier, International Conference ICMS2014, Pages.613-617, (2014).

  2. R. Saravanakumar and M. Syed Ali, H∞ state estimation control of neural networks with distributed time-varying delays, Proceedings of the IEEE International joint Conference, DOI: 10.1109/ISCMI.2014.36.

  3. R. Saravanakumar, M. Syed Ali and Grienggrai Rajchakit, Improved stability analysis of delayed neural networks via Wirtinger-based double integral inequality, Proceedings of the IEEE International joint Conference, DOI:10.1109/INVENTIVE.2016.7830198

  4. Hiroaki Mukaidani, R. Saravanakumar, and Hua Xu, Open-Loop Dymanic Games for Interconnected Positive Nonlinear Systems with H infinity Constraint, 12th Asian Control Conference (ASCC), pp.515-520, 2019 

  5. R. Saravanakumar, and H. Mukaidani, "Robust dissipative sampled-data control of offshore steel jacket platforms," in 2019 Society of Instrument and Control Engineers (SICE), IEEE, 2019, DOI: 10.23919/SICE.2019.8859804

  6. M. Sagara, H. Mukaidani, R. Saravanakumar, and H. Xu, "Gain-scheduled robust pareto static output feedback strategy for stochastic LPV systems," in 2019 Society of Instrument and Control Engineers (SICE 2019), IEEE, 2019, DOI: 10.23919/SICE.2019.8859954

  7. H. Mukaidani, R. Saravanakumar, H. Xu, and M. Sagara, "Robust Nash strategy for uncertain delay systems with LSTM and its application for TCP/AQM congestion control," in 2019 Society of Instrument and Control Engineers (SICE 2019), IEEE, 2019, DOI: 10.23919/SICE.2019.8859817

  8. H. Mukaidani, R. Saravanakumar, H. Xu, and W. Zhuang, "Robust Nash static output feedback strategy for uncertain Markov jump delay stochastic systems," in 2019 IEEE 58th Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9028961

  9. R. Saravanakumar, H. Mukaidani, and Amir Amini, “Non-fragile Exponential Consensus of Nonlinear Multi-agent Systems via Sampled-data Control”, IFAC World Congress 2020, Accepted.

  10. H. Mukaidani, R. Saravanakumar, H. Xu, and W. Zhuang, “Robust Incentive Stackelberg Strategy for Markov Jump Delay Stochastic Systems via Static Output Feedback”, IFAC World Congress 2020, Accepted.

  11. H. Mukaidani, R. Saravanakumar, H. Xu, and W. Zhuang, “Robust Stackelberg Games via Static Output Feedback Strategy for Uncertain Stochastic Systems with State Delay”, IFAC World Congress 2020, Accepted.

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