Gnaneswaran Nagamani

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Exponential Stability

Activation Function

State Estimation

Top Venues

Neural Process. Lett.

J. Frankl. Inst.

Math. Comput. Simul.

Neural Comput. Appl.

Publications

B. Adhira, Gnaneswaran Nagamani
Extended dissipative criteria for delayed semi-discretized competitive neural networks. Neural Process. Lett. 56 (2) (2024)
K. Sri Raja Priyanka, Gnaneswaran Nagamani
Non-fragile projective synchronization of delayed discrete-time neural networks via generalized weighted summation inequality. Appl. Math. Comput. 479 (2024)
K. Sri Raja Priyanka, G. Soundararajan, Ardak Kashkynbayev, Gnaneswaran Nagamani
Co-existence of robust output-feedback synchronization and anti-synchronization of delayed discrete-time neural networks with its application. Comput. Appl. Math. 43 (1) (2024)
G. Soundararajan, Gnaneswaran Nagamani, Ardak Kashkynbayev
Exponential H∞ filtering for complex-valued uncertain discrete-time neural networks with time-varying delays. Commun. Nonlinear Sci. Numer. Simul. 128 (2024)
B. Adhira, Gnaneswaran Nagamani
Extended Dissipativity Performance for the Delayed Discrete-Time Neural Networks with Observer-Based Control. Neural Process. Lett. 55 (2) (2023)
B. Adhira, Gnaneswaran Nagamani, Dafik
Non-fragile extended dissipative synchronization control of delayed uncertain discrete-time neural networks. Commun. Nonlinear Sci. Numer. Simul. 116 (2023)
K. Sri Raja Priyanka, G. Soundararajan, Ardak Kashkynbayev, Gnaneswaran Nagamani
Exponential H∞ synchronization and anti-synchronization of delayed discrete-time complex-valued neural networks with uncertainties. Math. Comput. Simul. 207 (2023)
G. Soundararajan, Gnaneswaran Nagamani
Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties. Neural Networks 159 (2023)
A. Karnan, Gnaneswaran Nagamani
Synchronization of Uncertain Neural Networks with Additive Time-Varying Delays and General Activation Function. Neural Process. Lett. 55 (4) (2023)
M. Shafiya, Gnaneswaran Nagamani, Dafik
Global synchronization of uncertain fractional-order BAM neural networks with time delay via improved fractional-order integral inequality. Math. Comput. Simul. 191 (2022)
M. Shafiya, Gnaneswaran Nagamani
Extended dissipativity criterion for fractional-order neural networks with time-varying parameter and interval uncertainties. Comput. Appl. Math. 41 (3) (2022)
A. Karnan, Gnaneswaran Nagamani
Non-fragile state estimation for memristive cellular neural networks with proportional delay. Math. Comput. Simul. 193 (2022)
B. Adhira, Gnaneswaran Nagamani, G. Soundararajan
Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design. J. Frankl. Inst. 359 (11) (2022)
Karthik Chinnasamy, Gnaneswaran Nagamani, Ramasamy Subramaniyam, Dafik
Robust stabilization of T-S fuzzy systems via improved integral inequality. Soft Comput. 26 (1) (2022)
Gnaneswaran Nagamani, A. Karnan, G. Soundararajan
Delay-Dependent and Independent State Estimation for BAM Cellular Neural Networks with Multi-Proportional Delays. Circuits Syst. Signal Process. 40 (7) (2021)
Gnaneswaran Nagamani, Karthik Chinnasamy, Ramasamy Subramaniam, Quanxin Zhu
Robust Exponential Stability Analysis for Stochastic Systems With Actuator Faults Using Improved Weighted Relaxed Integral Inequality. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Gnaneswaran Nagamani, M. Shafiya, G. Soundararajan
An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays. Neural Process. Lett. 52 (3) (2020)
Gnaneswaran Nagamani, M. Shafiya, G. Soundararajan, Mani Prakash
Robust state estimation for fractional-order delayed BAM neural networks via LMI approach. J. Frankl. Inst. 357 (8) (2020)
Ganesan Soundara Rajan, Gnaneswaran Nagamani
State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Gnaneswaran Nagamani, G. Soundararajan, Ramasamy Subramaniam, Muhammad Azeem
Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks. Neural Comput. Appl. 32 (13) (2020)
Gnaneswaran Nagamani, C. Karthik, Young Hoon Joo
Event-triggered observer-based sliding mode control for T-S fuzzy systems via improved relaxed-based integral inequality. J. Frankl. Inst. 357 (14) (2020)
Gnaneswaran Nagamani, Young Hoon Joo, G. Soundararajan, Reza Mohajerpoor
Robust event-triggered reliable control for T-S fuzzy uncertain systems via weighted based inequality. Inf. Sci. 512 (2020)
Gnaneswaran Nagamani, Ganesan Soundara Rajan, Quanxin Zhu
Exponential State Estimation for Memristor-Based Discrete-Time BAM Neural Networks With Additive Delay Components. IEEE Trans. Cybern. 50 (10) (2020)
Gnaneswaran Nagamani, C. Karthik, G. Soundararajan
Observer-based exponential stabilization for time-delay systems via augmented weighted integral inequality. J. Frankl. Inst. 356 (16) (2019)
Gnaneswaran Nagamani, Young Hoon Joo, Han Sol Kim
A linear matrix inequality-based extended dissipativity criteria for linear systems with additive time-varying delays. IFAC J. Syst. Control. 10 (2019)
Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays. Neural Comput. Appl. 30 (11) (2018)
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Padmini Gopalakrishnan
Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays. Int. J. Comput. Math. 94 (7) (2017)
Gnaneswaran Nagamani, S. Ramasamy, Anke Meyer-Baese
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. 28 (4) (2017)
S. Ramasamy, Gnaneswaran Nagamani, Thirunavukkarasu Radhika
Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach. Neural Process. Lett. 45 (3) (2017)
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Quanxin Zhu
An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components. IEEE Trans. Neural Networks Learn. Syst. 28 (12) (2017)
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Pagavathi Balasubramaniam
A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay. Complex. 21 (5) (2016)
Gnaneswaran Nagamani, S. Ramasamy
Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays. Neurocomputing 174 (2016)
Gnaneswaran Nagamani, S. Ramasamy
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. 353 (14) (2016)
Gnaneswaran Nagamani, Thirunavukkarasu Radhika
Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays. Neural Process. Lett. 44 (2) (2016)
Gnaneswaran Nagamani, S. Ramasamy
Stochastic dissipativity and passivity analysis for discrete-time neural networks with probabilistic time-varying delays in the leakage term. Appl. Math. Comput. 289 (2016)
Gnaneswaran Nagamani, S. Ramasamy, Pagavathigounder Balasubramaniam
Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay. Complex. 21 (3) (2016)
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
A Delay Decomposition Approach to Delay-Dependent Robust Passive Control for Takagi-Sugeno Fuzzy Nonlinear Systems. Circuits Syst. Signal Process. 31 (4) (2012)
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
Global robust passivity analysis for stochastic fuzzy interval neural networks with time-varying delays. Expert Syst. Appl. 39 (1) (2012)
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
A delay decomposition approach to delay-dependent passivity analysis for interval neural networks with time-varying delay. Neurocomputing 74 (10) (2011)
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani
Global Robust Passivity Analysis for Stochastic Interval Neural Networks with Interval Time-Varying Delays and Markovian Jumping Parameters. J. Optim. Theory Appl. 149 (1) (2011)
Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani, R. Rakkiyappan
Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type. Neural Process. Lett. 32 (2) (2010)