Observer-based exponential stabilization for time-delay systems via augmented weighted integral inequality. - Gnaneswaran Nagamani; C. Karthik; G. Soundararajan (J. Frankl. Inst., 2019)

Robust event-triggered reliable control for T-S fuzzy uncertain systems via weighted based inequality. - Gnaneswaran Nagamani; Young Hoon Joo; G. Soundararajan; Reza Mohajerpoor (Inf. Sci., 2020)

Robust state estimation for fractional-order delayed BAM neural networks via LMI approach. - Gnaneswaran Nagamani; M. Shafiya; G. Soundararajan; Mani Prakash (J. Frankl. Inst., 2020)

Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks. - Gnaneswaran Nagamani; G. Soundararajan; Ramasamy Subramaniam; Muhammad Azeem (Neural Comput. Appl., 2020)

An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays. - Gnaneswaran Nagamani; M. Shafiya; G. Soundararajan (Neural Process. Lett., 2020)

Exponential State Estimation for Memristor-Based Discrete-Time BAM Neural Networks With Additive Delay Components. - Gnaneswaran Nagamani; Ganesan Soundara Rajan; Quanxin Zhu (IEEE Trans. Cybern., 2020)

State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks. - Ganesan Soundara Rajan; Gnaneswaran Nagamani (IEEE Trans. Neural Networks Learn. Syst., 2020)

Delay-Dependent and Independent State Estimation for BAM Cellular Neural Networks with Multi-Proportional Delays. - Gnaneswaran Nagamani; A. Karnan; G. Soundararajan (Circuits Syst. Signal Process., 2021)

Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design. - B. Adhira; Gnaneswaran Nagamani; G. Soundararajan (J. Frankl. Inst., 2022)

Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties. - G. Soundararajan; Gnaneswaran Nagamani (Neural Networks, 2023)

Exponential H∞ synchronization and anti-synchronization of delayed discrete-time complex-valued neural networks with uncertainties. - K. Sri Raja Priyanka; G. Soundararajan; Ardak Kashkynbayev; Gnaneswaran Nagamani (Math. Comput. Simul., 2023)

Finite-time contractive stability for fractional-order nonlinear systems with delayed impulses: Applications to neural networks. - P. Gokul; G. Soundararajan; Ardak Kashkynbayev; R. Rakkiyappan (Neurocomputing, 2024)

Finite-time/fixed-time synchronization of memristive shunting inhibitory cellular neural networks via sliding mode control. - Madina Otkel; Ganesan Soundara Rajan; Rajan Rakkiyappan; Ardak Kashkynbayev (Math. Comput. Simul., 2024)

Exponential H∞ filtering for complex-valued uncertain discrete-time neural networks with time-varying delays. - G. Soundararajan; Gnaneswaran Nagamani; Ardak Kashkynbayev (Commun. Nonlinear Sci. Numer. Simul., 2024)

Co-existence of robust output-feedback synchronization and anti-synchronization of delayed discrete-time neural networks with its application. - K. Sri Raja Priyanka; G. Soundararajan; Ardak Kashkynbayev; Gnaneswaran Nagamani (Comput. Appl. Math., 2024)

Output sampling synchronization and state estimation in flux-charge domain memristive neural networks with leakage and time-varying delays. - G. Soundararajan; R. Suvetha; Minvydas Ragulskis; P. Prakash (Neural Networks, 2025)