\((\mu_1, \mu_2)\)-pseudo-asymptotically \(\tau\)-periodic function applied to models for differential equations with delays
DOI10.1007/s40314-024-02712-8MaRDI QIDQ6546507
Chaouki Aouiti, Mohsen Miraoui, Youssef Khemili
Publication date: 29 May 2024
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
dynamicsneural networkoscillationsfixed point theoremdouble measure\((\mu_1, \mu_2)\)-pseudo-asymptotically \(\tau\)-periodic function\(\mu\)-pseudo-asymptotically \(\tau\)-periodic functionglobally exponentially stability
Asymptotic theory of functional-differential equations (34K25) Stability theory of functional-differential equations (34K20) Periodic solutions to functional-differential equations (34K13)
Cites Work
- Measure theory and pseudo almost automorphic functions: new developments and applications
- Global exponential stability of high order recurrent neural network with time-varying delays
- Existence and exponential stability of almost-periodic solutions for high-order Hopfield neural networks
- New results for a Lasota–Wazewska model
- (μ, ν)-Pseudo almost automorphic solutions for some non-autonomous differential equations
- Cellular neural networks: theory
- State feedback controllers based finite-time and fixed-time stabilisation of high order BAM with reaction–diffusion term
- On the differential equations of recurrent neural networks
- The measure pseudo almost-periodicty and automorphy in HOHNNs with time-varying delays
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