Further Results on Input-to-State Stability of Stochastic Cohen–Grossberg BAM Neural Networks with Probabilistic Time-Varying Delays

Therapeutic strategy of biological macromolecules based natural bioactive compounds of diabetes mellitus and future perspectives: A systematic review

“…T2D is the most frequent form of DM, accounting for as much as 90% of all DM cases [ [11] , [12] , [13] ]. Epidemiological studies show that the number of persons with DM will rise to 629 million by 2045 from 425 million in 2017 [ 14 , 15 ]. The disease must be managed and treated as soon as possible because of the negative effects that DM may have on a person's quality of life [ 1 ].…”

Extended dissipative output‐feedback control for discrete‐time bidirectional associative memory neural networks via delay‐partitioning approach

“…Recently, in Sowmiya et al [14], the asymptotic stability criteria for uncertain BAM NNs were analyzed with leakage and discrete-time varying delays. More recently, in Chandrasekar et al [15], the problem of stochastic Cohen-Grossberg BAM NNs with probabilistic time-varying delay is investigated by input-to-state stability theory.…”

“…Despite most of the above mentioned research work being limited to the switched linear system, fuzzy systems, and recurrent NNs, to the best of the author's knowledge, there is no work related to the extended dissipativity performance of the discrete‐time BAM NNs. Motivated by the aforementioned discussions, the main contributions of this article are highlighted as follows: In the existing literature, qualitative behaviors such as stability, asymptotic stability and exponential stability [4–6, 8, 14, 15] have been highly investigated for delayed continuous‐time BAM NNs due to its potential application. Different from these, in this paper, the extended dissipativity performance is investigated for the delayed discrete‐time BAM NNs since it provides a more flexible robust control design in network dynamics.…”

“…In the existing literature, qualitative behaviors such as stability, asymptotic stability and exponential stability [4–6, 8, 14, 15] have been highly investigated for delayed continuous‐time BAM NNs due to its potential application. Different from these, in this paper, the extended dissipativity performance is investigated for the delayed discrete‐time BAM NNs since it provides a more flexible robust control design in network dynamics.…”

Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks

“…As a result, reaction diffusion must be taken into account. Relevant research topics are discussed in references [14,19,20,22,25,26], etc. While there have been reports on space-time discrete models [27][28][29] to date, the problems of synchronization and passivity-based control for discrete-time SINNs involving diffusions have not been explored.…”