Gnaneswaran Nagamani

45 papers Journal 45
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scalar projective synchronization for uncertain T-S fuzzy systems with unified control fluctuation: Implementation to quadruple-tank process model.
Expert Syst. Appl.
R. Elavarasi, B. Adhira, Gnaneswaran Nagamani, Van Thanh Huynh
2025 J jnl
Extended dissipativity analysis of semi-discretized multi-delayed memristive Cohen-Grossberg neural networks via non-fragile synchronization approach.
J. Frankl. Inst.
B. Adhira, Santo Banerjee, Gnaneswaran Nagamani
2025 J jnl
Extended dissipativity-based finite-time contractive boundedness for delayed discrete-time neural networks via event-triggered approach.
Neural Comput. Appl.
B. Adhira, Gnaneswaran Nagamani
2025 J jnl
Region bounded observer design for T-S fuzzy systems with nonlinear perturbations.
Commun. Nonlinear Sci. Numer. Simul.
R. Elavarasi, Gnaneswaran Nagamani
2024 J jnl
Co-existence of robust output-feedback synchronization and anti-synchronization of delayed discrete-time neural networks with its application.
Comput. Appl. Math.
K. Sri Raja Priyanka, G. Soundararajan, Ardak Kashkynbayev, Gnaneswaran Nagamani
2024 J jnl
Exponential H∞ filtering for complex-valued uncertain discrete-time neural networks with time-varying delays.
Commun. Nonlinear Sci. Numer. Simul.
G. Soundararajan, Gnaneswaran Nagamani, Ardak Kashkynbayev
2024 J jnl
Extended dissipative criteria for delayed semi-discretized competitive neural networks.
Neural Process. Lett.
B. Adhira, Gnaneswaran Nagamani
2024 J jnl
Non-fragile projective synchronization of delayed discrete-time neural networks via generalized weighted summation inequality.
Appl. Math. Comput.
K. Sri Raja Priyanka, Gnaneswaran Nagamani
2023 J jnl
Exponential H∞ synchronization and anti-synchronization of delayed discrete-time complex-valued neural networks with uncertainties.
Math. Comput. Simul.
K. Sri Raja Priyanka, G. Soundararajan, Ardak Kashkynbayev, Gnaneswaran Nagamani
2023 J jnl
Extended Dissipativity Performance for the Delayed Discrete-Time Neural Networks with Observer-Based Control.
Neural Process. Lett.
B. Adhira, Gnaneswaran Nagamani
2023 J jnl
Non-fragile extended dissipative synchronization control of delayed uncertain discrete-time neural networks.
Commun. Nonlinear Sci. Numer. Simul.
B. Adhira, Gnaneswaran Nagamani, Dafik
2023 J jnl
Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties.
Neural Networks
G. Soundararajan, Gnaneswaran Nagamani
2023 J jnl
Synchronization of Uncertain Neural Networks with Additive Time-Varying Delays and General Activation Function.
Neural Process. Lett.
A. Karnan, Gnaneswaran Nagamani
2022 J jnl
Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design.
J. Frankl. Inst.
B. Adhira, Gnaneswaran Nagamani, G. Soundararajan
2022 J jnl
Extended dissipativity criterion for fractional-order neural networks with time-varying parameter and interval uncertainties.
Comput. Appl. Math.
M. Shafiya, Gnaneswaran Nagamani
2022 J jnl
Global synchronization of uncertain fractional-order BAM neural networks with time delay via improved fractional-order integral inequality.
Math. Comput. Simul.
M. Shafiya, Gnaneswaran Nagamani, Dafik
2022 J jnl
Non-fragile state estimation for memristive cellular neural networks with proportional delay.
Math. Comput. Simul.
A. Karnan, Gnaneswaran Nagamani
2022 J jnl
Robust stabilization of T-S fuzzy systems via improved integral inequality.
Soft Comput.
Karthik Chinnasamy, Gnaneswaran Nagamani, Ramasamy Subramaniyam, Dafik
2021 J jnl
Delay-Dependent and Independent State Estimation for BAM Cellular Neural Networks with Multi-Proportional Delays.
Circuits Syst. Signal Process.
Gnaneswaran Nagamani, A. Karnan, G. Soundararajan
2021 J jnl
Robust Exponential Stability Analysis for Stochastic Systems With Actuator Faults Using Improved Weighted Relaxed Integral Inequality.
IEEE Trans. Syst. Man Cybern. Syst.
Gnaneswaran Nagamani, Karthik Chinnasamy, Ramasamy Subramaniam, Quanxin Zhu
2020 J jnl
An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays.
Neural Process. Lett.
Gnaneswaran Nagamani, M. Shafiya, G. Soundararajan
2020 J jnl
Event-triggered observer-based sliding mode control for T-S fuzzy systems via improved relaxed-based integral inequality.
J. Frankl. Inst.
Gnaneswaran Nagamani, C. Karthik, Young Hoon Joo
2020 J jnl
Exponential State Estimation for Memristor-Based Discrete-Time BAM Neural Networks With Additive Delay Components.
IEEE Trans. Cybern.
Gnaneswaran Nagamani, Ganesan Soundara Rajan, Quanxin Zhu
2020 J jnl
Robust event-triggered reliable control for T-S fuzzy uncertain systems via weighted based inequality.
Inf. Sci.
Gnaneswaran Nagamani, Young Hoon Joo, G. Soundararajan, Reza Mohajerpoor
2020 J jnl
Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks.
Neural Comput. Appl.
Gnaneswaran Nagamani, G. Soundararajan, Ramasamy Subramaniam, Muhammad Azeem
2020 J jnl
Robust state estimation for fractional-order delayed BAM neural networks via LMI approach.
J. Frankl. Inst.
Gnaneswaran Nagamani, M. Shafiya, G. Soundararajan, Mani Prakash
2020 J jnl
State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Ganesan Soundara Rajan, Gnaneswaran Nagamani
2019 J jnl
A linear matrix inequality-based extended dissipativity criteria for linear systems with additive time-varying delays.
IFAC J. Syst. Control.
Gnaneswaran Nagamani, Young Hoon Joo, Han Sol Kim
2019 J jnl
Observer-based exponential stabilization for time-delay systems via augmented weighted integral inequality.
J. Frankl. Inst.
Gnaneswaran Nagamani, C. Karthik, G. Soundararajan
2018 J jnl
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays.
Neural Comput. Appl.
Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar
2017 J jnl
An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components.
IEEE Trans. Neural Networks Learn. Syst.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Quanxin Zhu
2017 J jnl
Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays.
Int. J. Comput. Math.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Padmini Gopalakrishnan
2017 J jnl
Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach.
Neural Process. Lett.
S. Ramasamy, Gnaneswaran Nagamani, Thirunavukkarasu Radhika
2017 J jnl
Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays.
Neural Comput. Appl.
Gnaneswaran Nagamani, S. Ramasamy, Anke Meyer-Baese
2016 J jnl
A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay.
Complex.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Pagavathi Balasubramaniam
2016 J jnl
Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays.
Neural Process. Lett.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika
2016 J jnl
Dissipativity and passivity analysis for discrete-time T-S fuzzy stochastic neural networks with leakage time-varying delays based on Abel lemma approach.
J. Frankl. Inst.
Gnaneswaran Nagamani, S. Ramasamy
2016 J jnl
Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays.
Neurocomputing
Gnaneswaran Nagamani, S. Ramasamy
2016 J jnl
Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay.
Complex.
Gnaneswaran Nagamani, S. Ramasamy, Pagavathigounder Balasubramaniam
2016 J jnl
Stochastic dissipativity and passivity analysis for discrete-time neural networks with probabilistic time-varying delays in the leakage term.
Appl. Math. Comput.
Gnaneswaran Nagamani, S. Ramasamy
2012 J jnl
A Delay Decomposition Approach to Delay-Dependent Robust Passive Control for Takagi-Sugeno Fuzzy Nonlinear Systems.
Circuits Syst. Signal Process.
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
2012 J jnl
Global robust passivity analysis for stochastic fuzzy interval neural networks with time-varying delays.
Expert Syst. Appl.
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
2011 J jnl
A delay decomposition approach to delay-dependent passivity analysis for interval neural networks with time-varying delay.
Neurocomputing
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
2011 J jnl
Global Robust Passivity Analysis for Stochastic Interval Neural Networks with Interval Time-Varying Delays and Markovian Jumping Parameters.
J. Optim. Theory Appl.
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
2010 J jnl
Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type.
Neural Process. Lett.
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani, R. Rakkiyappan