All Stories

  1. ANN and Astrom's Smith Predictor‐Based PI Control Design for Semi‐Markovian Jump Systems With Input Time‐Delay

    Article • International Journal of Robust and Nonlinear Control, June 2026, Wiley

    Lakshmanan Shanmugam

  2. Finite-time H∞ boundedness of delayed interconnected systems using sliding mode control with partitioned interval strategy

    Article • Communications in Nonlinear Science and Numerical Simulation, June 2026, Elsevier

    Lakshmanan Shanmugam

  3. Finite-time synchronization of complex dynamical networks with parametric uncertainties under delayed impulsive control

    Article • Physica Scripta, November 2025, Institute of Physics Publishing

    Lakshmanan Shanmugam

  4. Deep Learning-Based Multimodal Fusion Approach for Predicting Acute Dermal Toxicity

    Article • Journal of Chemical Information and Modeling, July 2025, American Chemical Society (ACS)

    Lakshmanan Shanmugam

  5. Fractional Exponent-Based Looped-Lyapunov Functional for Mode-Dependent Sampled-Data Control of T–S Fuzzy Markovian Jump Systems With $\mathscr {H}_{\infty }$ Performance

    Article • IEEE Transactions on Fuzzy Systems, July 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  6. Fixed-Time Synchronization of Leaderless and Leader-Following Multi-Agent Networks With Delayed Impulses

    Article • IEEE Transactions on Signal and Information Processing over Networks, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  7. A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique

    Article • Information Fusion, August 2024, Elsevier

    Lakshmanan Shanmugam

  8. Decentralized Sampled-Data Control for Stochastic Disturbance in Interconnected Power Systems With PMSG-Based Wind Turbines

    Article • IEEE Transactions on Cybernetics, June 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  9. Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication

    Article • IEEE Transactions on Neural Networks and Learning Systems, April 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  10. Stability Criteria for Fuzzy-Based Sampled-Data Control Systems via a Fractional Parameter-Based Refined Looped Lyapunov Functional

    Article • IEEE Transactions on Fuzzy Systems, July 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  11. Dynamical Analysis of Posttreatment HIV‐1 Infection Model

    Article • Complexity, January 2022, Wiley

    Lakshmanan Shanmugam

  12. Stability and Stabilization for T–S Fuzzy Large-Scale Interconnected Power System With Wind Farm via Sampled-Data Control

    Article • IEEE Transactions on Systems Man and Cybernetics Systems, April 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  13. Further Stability and Stabilization Condition for Sampled-Data Control Systems via Looped-Functional Method

    Article • IEEE Transactions on Circuits & Systems II Express Briefs, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  14. Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication

    Article • IEEE Transactions on Cybernetics, March 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  15. Stabilization of Event-triggered-based Neural Network Control System and Its application to Wind Power Generation Systems

    Article • IET Control Theory and Applications, February 2020, the Institution of Engineering and Technology (the IET)

    Lakshmanan Shanmugam

  16. Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model

    Article • IEEE Transactions on Fuzzy Systems, August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  17. Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption

    Article • Information Sciences, July 2019, Elsevier

    Lakshmanan Shanmugam

  18. Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays

    Article • IEEE Transactions on Cybernetics, April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  19. Applications of Delay Differential Equations in Biological Systems

    Article • Complexity, September 2018, Hindawi Publishing Corporation

    Professor Cemil Tunç, Prof. Samir H Saker, Fathalla Rihan, Lakshmanan Shanmugam

  20. Reversible Data Hiding in Medical Images Using Edge Detection and Difference Expansion Technique

    Article • Journal of Computational and Theoretical Nanoscience, June 2018, American Scientific Publishers

    Lakshmanan Shanmugam

  21. A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator

    Article • Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, May 2018, SAGE Publications

    Lakshmanan Shanmugam

  22. State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties

    Article • Applied Mathematics and Computation, March 2018, Elsevier

    Lakshmanan Shanmugam

  23. Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and Its Application to PMSM

    Article • IEEE Transactions on Systems Man and Cybernetics Systems, January 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  24. Robust H∞ cost guaranteed integral sliding mode control for the synchronization problem of nonlinear tele-operation system with variable time-delay

    Article • ISA Transactions, January 2018, Elsevier

    Lakshmanan Shanmugam

  25. Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

    Article • IEEE Transactions on Neural Networks and Learning Systems, January 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  26. H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays

    Article • December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  27. Stabilization of delayed Cohen-Grossberg BAM neural networks

    Article • Mathematical Methods in the Applied Sciences, November 2017, Wiley

    Rajivganthi Chinnathambi, Fathalla Rihan, Lakshmanan Shanmugam

  28. New delay range-dependent stability criteria for interval time-varying delay systems via Wirtinger-based inequalities

    Article • International Journal of Robust and Nonlinear Control, August 2017, Wiley

    Lakshmanan Shanmugam

  29. Dynamical Analysis of the Hindmarsh–Rose Neuron With Time Delays

    Article • IEEE Transactions on Neural Networks and Learning Systems, August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  30. Dissipativity analysis of complex-valued BAM neural networks with time delay

    Article • Neural Computing and Applications, April 2017, Springer Science + Business Media

    Lakshmanan Shanmugam

  31. Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach

    Article • Neurocomputing, March 2017, Elsevier

    Lakshmanan Shanmugam

  32. Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays

    Article • IEEE Transactions on Systems Man and Cybernetics Systems, January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  33. Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays

    Article • IEEE Transactions on Cybernetics, January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  34. Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances

    Article • Journal of the Franklin Institute, January 2017, Elsevier

    Lakshmanan Shanmugam

  35. Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays

    Article • Neural Computing and Applications, November 2016, Springer Science + Business Media

    Lakshmanan Shanmugam

  36. Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays

    Article • Journal of the Franklin Institute, November 2016, Elsevier

    Lakshmanan Shanmugam

  37. Synchronization of Markovian jumping inertial neural networks and its applications in image encryption

    Article • Neural Networks, November 2016, Elsevier

    Lakshmanan Shanmugam

  38. Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control

    Article • Journal of the Franklin Institute, November 2016, Elsevier

    Lakshmanan Shanmugam

  39. Functional observer design for retarded system with interval time-varying delays

    Article • International Journal of Systems Science, September 2016, Taylor & Francis

    Lakshmanan Shanmugam

  40. Asymptotical Synchronization of Lur'e Systems Using Network Reliable Control

    Article • Journal of Dynamic Systems Measurement and Control, September 2016, ASME International

    Lakshmanan Shanmugam

  41. Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives

    Article • Complexity, August 2016, Wiley

    Fathalla Rihan, Lakshmanan Shanmugam

  42. Chaotic synchronization of time-delay coupled Hindmarsh–Rose neurons via nonlinear control

    Article • Nonlinear Dynamics, July 2016, Springer Science + Business Media

    Lakshmanan Shanmugam

  43. Minimum-order filter design for partial state estimation of linear systems with multiple time-varying state delays and unknown input delays

    Article • International Journal of Robust and Nonlinear Control, June 2016, Wiley

    Lakshmanan Shanmugam

  44. Leakage-delay-dependent stability analysis of Markovian jumping linear systems with time-varying delays and nonlinear perturbations

    Article • Applied Mathematical Modelling, April 2016, Elsevier

    Lakshmanan Shanmugam

  45. Partial state estimation of LTI systems with multiple constant time-delays

    Article • Journal of the Franklin Institute, January 2016, Elsevier

    Lakshmanan Shanmugam

  46. Robust stabilization of uncertain neural networks with additive time-varying delays∗∗This work was supported by SERB project DST, New Delhi, India under the F. No: YSS/2014/000447 dated 20.11.2015.

    Article • IFAC-PapersOnLine, January 2016, Elsevier

    Lakshmanan Shanmugam

  47. Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations

    Article • IMA Journal of Mathematical Control and Information, September 2015, Oxford University Press (OUP)

    Lakshmanan Shanmugam

  48. Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control

    Article • Journal of the Franklin Institute, August 2015, Elsevier

    Dr. Kaviarasan Boomipalagan, Lakshmanan Shanmugam

  49. Robust non-fragile control for offshore steel jacket platform with nonlinear perturbations

    Article • Nonlinear Dynamics, May 2015, Springer Science + Business Media

    Lakshmanan Shanmugam

  50. Fractional-order delayed predator–prey systems with Holling type-II functional response

    Article • Nonlinear Dynamics, January 2015, Springer Science + Business Media

    Lakshmanan Shanmugam

  51. Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach

    Article • January 2015, Springer Science + Business Media

    Lakshmanan Shanmugam

  52. Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays

    Article • Complexity, December 2014, Wiley

    Dr M Syed Ali, Lakshmanan Shanmugam

  53. Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays

    Article • International Journal of Systems Science, November 2014, Taylor & Francis

    Lakshmanan Shanmugam

  54. Stability analysis of the differential genetic regulatory networks model with time-varying delays and Markovian jumping parameters

    Article • Nonlinear Analysis Hybrid Systems, November 2014, Elsevier

    Lakshmanan Shanmugam

  55. Stability analysis of memristor-based complex-valued recurrent neural networks with time delays

    Article • Complexity, October 2014, Wiley

    Lakshmanan Shanmugam

  56. Corrigendum to “Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays” [Math. Biosci., 251 (2014) 30–53]

    Article • Mathematical Biosciences, September 2014, Elsevier

    Lakshmanan Shanmugam

  57. Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach

    Article • Neural Networks, September 2014, Elsevier

    Lakshmanan Shanmugam

  58. Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays

    Article • Neural Processing Letters, August 2014, Springer Science + Business Media

    Lakshmanan Shanmugam

  59. Impulsive effect on exponential synchronization of neural networks with leakage delay under sampled-data feedback control

    Article • Chinese Physics B, July 2014, Institute of Physics Publishing

    Lakshmanan Shanmugam

  60. Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control

    Article • Neurocomputing, June 2014, Elsevier

    Lakshmanan Shanmugam

  61. Exponential synchronization of chaotic Lur'e systems with time-varying delay via sampled-data control

    Article • Chinese Physics B, May 2014, Institute of Physics Publishing

    Lakshmanan Shanmugam

  62. Exponential stability of Markovian jumping stochastic Cohen–Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses

    Article • Neurocomputing, May 2014, Elsevier

    Lakshmanan Shanmugam

  63. Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays

    Article • Mathematical Biosciences, May 2014, Elsevier

    Lakshmanan Shanmugam

  64. A time delay model of tumour–immune system interactions: Global dynamics, parameter estimation, sensitivity analysis

    Article • Applied Mathematics and Computation, April 2014, Elsevier

    Lakshmanan Shanmugam

  65. Delay-dependent state estimation of neural networks with mixed time-varying delays

    Article • Neurocomputing, April 2014, Elsevier

    Lakshmanan Shanmugam

  66. Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control

    Article • Complexity, February 2014, Wiley

    Professor Jessie Park, Lakshmanan Shanmugam

  67. Exponential synchronization of complex dynamical networks with Markovian jumping parameters using sampled-data and mode-dependent probabilistic time-varying delays

    Article • Chinese Physics B, February 2014, Institute of Physics Publishing

    Lakshmanan Shanmugam

  68. Hopf Bifurcation and Stability of Periodic Solutions for Delay Differential Model of HIV Infection of CD4+T-cells

    Article • Abstract and Applied Analysis, January 2014, Hindawi Publishing Corporation

    Lakshmanan Shanmugam

  69. On Fractional SIRC Model withSalmonellaBacterial Infection

    Article • Abstract and Applied Analysis, January 2014, Hindawi Publishing Corporation

    Lakshmanan Shanmugam

  70. Effects of leakage time-varying delays in Markovian jump neural networks with impulse control

    Article • Neurocomputing, December 2013, Elsevier

    Lakshmanan Shanmugam

  71. State Estimation for Genetic Regulatory Networks With Mode-Dependent Leakage Delays, Time-Varying Delays, and Markovian Jumping Parameters

    Article • IEEE Transactions on NanoBioscience, December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Lakshmanan Shanmugam

  72. Robust state estimation for discrete-time genetic regulatory networks with randomly occurring uncertainties

    Article • Nonlinear Dynamics, September 2013, Springer Science + Business Media

    Lakshmanan Shanmugam

  73. A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays

    Article • Neurocomputing, July 2013, Elsevier

    Lakshmanan Shanmugam

  74. Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays

    Article • Applied Mathematics and Computation, May 2013, Elsevier

    Lakshmanan Shanmugam

  75. Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays

    Article • Circuits Systems and Signal Processing, April 2013, Springer Science + Business Media

    Lakshmanan Shanmugam

  76. State estimator for neural networks with sampled data using discontinuous Lyapunov functional approach

    Article • Nonlinear Dynamics, February 2013, Springer Science + Business Media

    Lakshmanan Shanmugam

  77. Robust Delay-Dependent Stability Criteria for Dynamic Systems with Nonlinear Perturbations and Leakage Delay

    Article • Circuits Systems and Signal Processing, February 2013, Springer Science + Business Media

    Lakshmanan Shanmugam

  78. Design of state estimator for genetic regulatory networks with time-varying delays and randomly occurring uncertainties

    Article • Biosystems, January 2013, Elsevier

    Lakshmanan Shanmugam

  79. State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters

    Article • Chinese Physics B, October 2012, Institute of Physics Publishing

    Lakshmanan Shanmugam

  80. State estimation of neural networks with time-varying delays and Markovian jumping parameter based on passivity theory

    Article • Nonlinear Dynamics, July 2012, Springer Science + Business Media

    Lakshmanan Shanmugam

  81. Design of state estimator for neural networks with leakage, discrete and distributed delays

    Article • Applied Mathematics and Computation, July 2012, Elsevier

    Lakshmanan Shanmugam

  82. Delay decomposition approach to state estimation of neural networks with mixed time-varying delays and Markovian jumping parameters

    Article • Mathematical Methods in the Applied Sciences, June 2012, Wiley

    Dr Vembarasan Vaitheeswaran, Lakshmanan Shanmugam

  83. LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties

    Article • International Journal of Applied Mathematics and Computer Science, June 2012, De Gruyter

    Lakshmanan Shanmugam

  84. Robust stability analysis for Markovian jumping interval neural networks with discrete and distributed time-varying delays

    Article • Chaos Solitons & Fractals, April 2012, Elsevier

    Lakshmanan Shanmugam

  85. Improved results on robust stability of neutral systems with mixed time-varying delays and nonlinear perturbations

    Article • Applied Mathematical Modelling, November 2011, Elsevier

    Lakshmanan Shanmugam

  86. New results of robust stability analysis for neutral-type neural networks with time-varying delays and Markovian jumping parameters1The work of authors was supported by Department of Science and Technology, New Delhi, India, under the sanctioned No. SR...

    Article • Canadian Journal of Physics, August 2011, Canadian Science Publishing

    Lakshmanan Shanmugam

  87. Delay-interval-dependent robust-stability criteria for neutral stochastic neural networks with polytopic and linear fractional uncertainties

    Article • International Journal of Computer Mathematics, July 2011, Taylor & Francis

    Lakshmanan Shanmugam

  88. Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay

    Article • Chinese Physics B, April 2011, Institute of Physics Publishing

    Lakshmanan Shanmugam

  89. LMI Conditions for Robust Stability Analysis of Stochastic Hopfield Neural Networks with Interval Time-Varying Delays and Linear Fractional Uncertainties

    Article • Circuits Systems and Signal Processing, January 2011, Springer Science + Business Media

    Lakshmanan Shanmugam

  90. State estimation for Markovian jumping recurrent neural networks with interval time-varying delays

    Article • Nonlinear Dynamics, November 2009, Springer Science + Business Media

    Lakshmanan Shanmugam

  91. Delay-range dependent stability criteria for neural networks with Markovian jumping parameters

    Article • Nonlinear Analysis Hybrid Systems, November 2009, Elsevier

    Lakshmanan Shanmugam

  92. Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties

    Article • Neurocomputing, October 2009, Elsevier

    Lakshmanan Shanmugam

  93. Robust stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays

    Article • Physics Letters A, August 2008, Elsevier

    Lakshmanan Shanmugam