Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field

Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field

Dynamics of discrete‐time neural networks have not been well documented yet in fractional‐order cases, which is the first time documented in this manuscript. This manuscript is mainly considered on the stability criterion of discrete‐time fractional‐order complex‐valued neural networks with time del...

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Veröffentlicht in:Mathematical methods in the applied sciences 2021-01, Vol.44 (1), p.419-440
Hauptverfasser: Pratap, Anbalagan, Raja, Ramachandran, Cao, Jinde, Huang, Chuangxia, Niezabitowski, Michal, Bagdasar, Ovidiu
Format: Artikel
Sprache:eng
Schlagworte:
complex‐valued neural networks
discrete time
finite‐time stability
fractional‐order
Laplace transforms
Mittag–Leffler stability
Neural networks
Stability criteria
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Zusammenfassung:Dynamics of discrete‐time neural networks have not been well documented yet in fractional‐order cases, which is the first time documented in this manuscript. This manuscript is mainly considered on the stability criterion of discrete‐time fractional‐order complex‐valued neural networks with time delays. When the fractional‐order β holds 1 
ISSN:0170-4214
1099-1476
DOI:10.1002/mma.6745