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ORCIDShanmugam Lakshmanan
Person information
- affiliation: Deakin University, Institute for Intelligent Systems Research and Innovation, Australia
- affiliation (former): Kunsan National University, South Korea
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2020 – today
- 2024
[j53]Bhuvaneshwari Ganesan, Mani Prakash
, Shanmugam Lakshmanan, Manivannan Annamalai:
Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5198-5210 (2024)- 2023
- [j52]Shanmugam Lakshmanan, Young Hoon Joo:
Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems. Appl. Math. Comput. 450: 127983 (2023) - 2022
- [j51]Shanmugam Lakshmanan, Young Hoon Joo:
Stability Criteria for Fuzzy-Based Sampled-Data Control Systems via a Fractional Parameter-Based Refined Looped Lyapunov Functional. IEEE Trans. Fuzzy Syst. 30(7): 2538-2549 (2022) - 2021
- [j50]Shanmugam Lakshmanan, Young Hoon Joo:
Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach. Inf. Sci. 559: 270-285 (2021) - [j49]Shanmugam Lakshmanan, Young Hoon Joo:
Investigation on stability of delayed T-S fuzzy interconnected systems via decentralized memory-based sampled-data control and validation through interconnected power systems with DFIG-based wind turbines. Inf. Sci. 580: 934-952 (2021) - [j48]Shanmugam Lakshmanan, Young Hoon Joo:
Further Stability and Stabilization Condition for Sampled-Data Control Systems via Looped-Functional Method. IEEE Trans. Circuits Syst. II Express Briefs 68(1): 301-305 (2021) - [j47]Shanmugam Lakshmanan, Young Hoon Joo:
Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and its Application to PMSM. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 542-551 (2021) - [j46]Shanmugam Lakshmanan, Young Hoon Joo:
Stability and Stabilization for T-S Fuzzy Large-Scale Interconnected Power System With Wind Farm via Sampled-Data Control. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2134-2144 (2021) - 2020
- [j45]Shanmugam Lakshmanan, Mani Prakash, Rajan Rakkiyappan, Young Hoon Joo:
Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication. IEEE Trans. Cybern. 50(3): 911-922 (2020)
2010 – 2019
- 2019
- [j44]Fathalla A. Rihan, Shanmugam Lakshmanan, Helmut Maurer:
Optimal control of tumour-immune model with time-delay and immuno-chemotherapy. Appl. Math. Comput. 353: 147-165 (2019) - [j43]Mani Prakash, Rajan Rakkiyappan, Shanmugam Lakshmanan, Young Hoon Joo:
Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. Inf. Sci. 491: 74-89 (2019) - [j42]Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan:
Dissipativity analysis of complex-valued BAM neural networks with time delay. Neural Comput. Appl. 31(1): 127-137 (2019) - [j41]Muthukumar Palanisamy, S. Arunagirinathan, Shanmugam Lakshmanan:
Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays. IEEE Trans. Cybern. 49(4): 1512-1523 (2019) - [j40]Mani Prakash, Rajan Rakkiyappan, Shanmugam Lakshmanan, Young Hoon Joo:
Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model. IEEE Trans. Fuzzy Syst. 27(8): 1674-1686 (2019) - 2018
- [j39]K. Subramanian, Muthukumar Palanisamy, Shanmugam Lakshmanan:
State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties. Appl. Math. Comput. 321: 267-281 (2018) - [j38]Fathalla A. Rihan, Cemil Tunç, S. H. Saker, Shanmugam Lakshmanan, R. Rakkiyappan:
Applications of Delay Differential Equations in Biological Systems. Complex. 2018: 4584389:1-4584389:3 (2018) - [j37]Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Shanmugam Lakshmanan:
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. 232(8): 1025-1038 (2018) - [j36]Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan, Muthukumar Palanisamy:
Finite-time stability analysis for fractional-order Cohen-Grossberg BAM neural networks with time delays. Neural Comput. Appl. 29(12): 1309-1320 (2018) - [j35]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Ju H. Park:
Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays. IEEE Trans. Cybern. 48(7): 2036-2048 (2018) - [j34]Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi:
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 29(1): 195-207 (2018) - [j33]Saba Al-Wais, Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi:
Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2470-2484 (2018) - 2017
- [j32]Shanmugam Lakshmanan, Chee Peng Lim, Mani Prakash, Saeid Nahavandi, Pagavathigounder Balasubramaniam:
Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach. Neurocomputing 230: 243-250 (2017) - [j31]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Mehrdad Saif:
Functional observer design for retarded system with interval time-varying delays. Int. J. Syst. Sci. 48(5): 1060-1070 (2017) - [j30]K. Sivaranjani, R. Rakkiyappan, Shanmugam Lakshmanan, Chee Peng Lim:
Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations. IMA J. Math. Control. Inf. 34(1): 337-357 (2017) - [j29]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Rajan Rakkiyappan, Saeid Nahavandi, Ju H. Park:
Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances. J. Frankl. Inst. 354(2): 1169-1194 (2017) - [j28]Shanmugam Lakshmanan, Chee Peng Lim, Saeid Nahavandi, Mani Prakash, P. Balasubramaniam:
Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1953-1958 (2017) - [c2]Saba Al-Wais, Tae H. Lee, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi:
H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays. ASCC 2017: 600-605 - 2016
- [j27]Rajan Rakkiyappan, Gandhi Velmurugan, Fathalla A. Rihan, Shanmugam Lakshmanan:
Stability analysis of memristor-based complex-valued recurrent neural networks with time delays. Complex. 21(4): 14-39 (2016) - [j26]Muhammed Syed Ali, Pagavathigounder Balasubramaniam, Fathalla A. Rihan, Shanmugam Lakshmanan:
Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays. Complex. 21(5): 143-154 (2016) - [j25]Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan, Rajan Rakkiyappan, Muthukumar Palanisamy:
Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives. Complex. 21(S2): 412-426 (2016) - [j24]Reza Mohajerpoor, Hamid Abdi, Shanmugam Lakshmanan, Saeid Nahavandi:
Partial state estimation of LTI systems with multiple constant time-delays. J. Frankl. Inst. 353(2): 541-560 (2016) - [j23]Muthukumar Palanisamy, K. Subramanian, Shanmugam Lakshmanan:
Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays. J. Frankl. Inst. 353(16): 4091-4113 (2016) - [j22]R. Rakkiyappan, Rathinasamy Sasirekha, Shanmugam Lakshmanan, Chee Peng Lim:
Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control. J. Frankl. Inst. 353(16): 4300-4329 (2016) - [j21]Mani Prakash, Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan:
Synchronization of Markovian jumping inertial neural networks and its applications in image encryption. Neural Networks 83: 86-93 (2016) - 2015
- [j20]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. Complex. 20(3): 39-65 (2015) - [j19]R. Rakkiyappan, B. Kaviarasan, Fathalla A. Rihan, Shanmugam Lakshmanan:
Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control. J. Frankl. Inst. 352(8): 3178-3195 (2015) - [j18]G. Velmurugan, R. Rakkiyappan, Shanmugam Lakshmanan:
Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays. Neural Process. Lett. 42(3): 517-540 (2015) - [c1]Shanmugam Lakshmanan, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi:
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) 2015: 297-305 - 2014
- [j17]Fathalla A. Rihan, D. H. Abdel Rahman, Shanmugam Lakshmanan, A. S. Alkhajeh:
A time delay model of tumour-immune system interactions: Global dynamics, parameter estimation, sensitivity analysis. Appl. Math. Comput. 232: 606-623 (2014) - [j16]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. Complex. 19(4): 32-43 (2014) - [j15]Shanmugam Lakshmanan, K. Mathiyalagan, Ju H. Park, Rathinasamy Sakthivel, Fathalla A. Rihan:
Delay-dependent H∞ state estimation of neural networks with mixed time-varying delays. Neurocomputing 129: 392-400 (2014) - [j14]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. Neurocomputing 131: 265-277 (2014) - [j13]A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Shanmugam Lakshmanan:
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. Neurocomputing 133: 385-398 (2014) - [j12]A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Shanmugam Lakshmanan:
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Neural Networks 57: 79-93 (2014) - 2013
- [j11]Shanmugam Lakshmanan, Ju H. Park, Tae H. Lee, Ho Y. Jung, R. Rakkiyappan:
Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays. Appl. Math. Comput. 219(17): 9408-9423 (2013) - [j10]Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, Pagavathigounder Balasubramaniam, Sang-Moon Lee:
Design of state estimator for genetic regulatory networks with time-varying delays and randomly occurring uncertainties. Biosyst. 111(1): 51-70 (2013) - [j9]R. Rakkiyappan, Shanmugam Lakshmanan, Pagavathigounder Balasubramaniam:
Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays. Circuits Syst. Signal Process. 32(3): 1147-1177 (2013) - [j8]Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung:
Robust Delay-Dependent Stability Criteria for Dynamic Systems with Nonlinear Perturbations and Leakage Delay. Circuits Syst. Signal Process. 32(4): 1637-1657 (2013) - [j7]Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, O. M. Kwon, R. Rakkiyappan:
A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays. Neurocomputing 111: 81-89 (2013) - [j6]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung:
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. Neurocomputing 121: 365-378 (2013) - 2012
- [j5]Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, Pagavathigounder Balasubramaniam:
Design of state estimator for neural networks with leakage, discrete and distributed delays. Appl. Math. Comput. 218(22): 11297-11310 (2012) - [j4]Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, Rajan Rakkiyappan:
LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties. Int. J. Appl. Math. Comput. Sci. 22(2): 339-351 (2012) - 2011
- [j3]Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan:
LMI Conditions for Robust Stability Analysis of Stochastic Hopfield Neural Networks with Interval Time-Varying Delays and Linear Fractional Uncertainties. Circuits Syst. Signal Process. 30(5): 1011-1028 (2011) - [j2]Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan:
Delay-interval-dependent robust-stability criteria for neutral stochastic neural networks with polytopic and linear fractional uncertainties. Int. J. Comput. Math. 88(10): 2001-2015 (2011)
2000 – 2009
- 2009
- [j1]Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, R. Rakkiyappan:
Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. Neurocomputing 72(16-18): 3675-3682 (2009)
Coauthor Index
aka: Pagavathigounder Balasubramaniam
aka: Rajan Rakkiyappan
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