LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: A non-fragile state estimation approach. - Chinnamuniyandi Maharajan; Rajan Rakkiyappan; Jinde Cao; Grienggrai Rajchakit; Zhengwen Tu; Ahmed Alsaedi (Appl. Math. Comput., 2018)

Impulsive Cohen-Grossberg BAM neural networks with mixed time-delays: An exponential stability analysis issue. - Chinnamuniyandi Maharajan; R. Rakkiyappan; Jinde Cao; Grienggrai Rajchakit; Ahmed Alsaedi (Neurocomputing, 2018)

Novel global robust exponential stability criterion for uncertain inertial-type BAM neural networks with discrete and distributed time-varying delays via Lagrange sense. - Chinnamuniyandi Maharajan; Ramachandran Raja; Jinde Cao; Grienggrai Rajchakit (J. Frankl. Inst., 2018)

Fractional delay segments method on time-delayed recurrent neural networks with impulsive and stochastic effects: An exponential stability approach. - Chinnamuniyandi Maharajan; Ramachandran Raja; Jinde Cao; Grienggrai Rajchakit (Neurocomputing, 2019)

New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays. - Manickam Iswarya; Ramachandran Raja; Jinde Cao; Michal Niezabitowski; Jehad O. Alzabut; Chinnamuniyandi Maharajan (Math. Comput. Simul., 2022)

Delay dependent complex-valued bidirectional associative memory neural networks with stochastic and impulsive effects: an exponential stability approach. - Chinnamuniyandi Maharajan; Chandran Sowmiya; Changjin Xu (Kybernetika, 2024)

Fractional order uncertain BAM neural networks with mixed time delays: An existence and Quasi-uniform stability analysis. - Chinnamuniyandi Maharajan; Chandran Sowmiya; Changjin Xu (J. Intell. Fuzzy Syst., 2024)

Lagrange stability of inertial type neural networks: A Lyapunov-Krasovskii functional approach. - Chinnamuniyandi Maharajan; Chandran Sowmiya; Changjin Xu (Evol. Syst., 2025)