Matrix measure approach for stability and synchronization of complex-valued neural networks with deviating argument
From MaRDI portal
Publication:2214873
DOI10.1155/2020/8877129zbMath1459.34173OpenAlexW3099495958MaRDI QIDQ2214873
Biwen Li, Wenbo Zhou, Jin E. Zhang
Publication date: 10 December 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/8877129
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Exponential stability (93D23)
Related Items (1)
Cites Work
- Matrix measure strategies for stabilization and synchronization of delayed BAM neural networks
- Lagrange stability of neural networks with memristive synapses and multiple delays
- Matrix measure strategies for exponential synchronization and anti-synchronization of memristor-based neural networks with time-varying delays
- Global stability of complex-valued neural networks on time scales
- Exponential synchronization of chaotic neural networks: a matrix measure approach
- Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays
- Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
- Stability analysis of recurrent neural networks with piecewise constant argument of generalized type
- Event-triggered stochastic synchronization in finite time for delayed semi-Markovian jump neural networks with discontinuous activations
- Synchronization stability of memristor-based complex-valued neural networks with time delays
- Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers
- Synchronization of impulsive coupled complex-valued neural networks with delay: the matrix measure method
- A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks
- Event-triggered synchronization of discrete-time neural networks: a switching approach
- Event-triggered synchronization in fixed time for semi-Markov switching dynamical complex networks with multiple weights and discontinuous nonlinearity
- Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments
- Analysis of global \(O(t^{-\alpha})\) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays
- Stability and Hopf Bifurcation of Fractional-Order Complex-Valued Single Neuron Model with Time Delay
This page was built for publication: Matrix measure approach for stability and synchronization of complex-valued neural networks with deviating argument
