R. Rakkiyappan, G. Velmurugan, Jinde Cao
R. Rakkiyappan, R. Sivaranjani, G. Velmurugan, Jinde Cao
In this paper, the problem of the global O(t(-α)) stability and global asymptotic periodicity for a class of fractional-order complex-valued neural networks (FCVNNs) with time varying delays is investigated. By constructing suitable Lyapunov functionals and a Leibniz rule for fractional differentiat...
R. Rakkiyappan, R. Sivasamy, Jinde Cao
S. Dharani, R. Rakkiyappan, Jinde Cao, Ahmed Alsaedi
This paper explores the problem of synchronization of a class of generalized reaction-diffusion neural networks with mixed time-varying delays. The mixed time-varying delays under consideration comprise of both discrete and distributed delays. Due to the development and merits of digital controllers...
R. Sasirekha, R. Rakkiyappan, Jinde Cao
Summary On the basis of the passivity theory, the problem of designing non‐fragile control for a class of networked control systems (NCSs) with the plant being a switched system is presented. The NCSs under consideration are modeled by considering the network‐induced imperfections like transmission ...
Le Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Early diagnosis and timely treatment of diabetes are critical for effective disease management and the prevention of complications. Undiagnosed diabetes can lead to an increased risk of several health issues. Although numerous machine learning (ML) models have been designed to detect diabetes, many ...
M Prakash, R. Rakkiyappan, A Manivannan, Haitao Zhu et al.
The objective of the present paper is to investigate the dynamics of Hepatitis B-type virus (HBV) infection through mathematical model. Distinct to the existing mathematical models on HBV, the present model considers the various factors such as immune impairment, the maximum number of T-cells (total...