An additive diagonal-stability condition for absolute exponential stability of a general class of neural networks
From MaRDI portal
Publication:4540103
DOI10.1109/81.964419zbMath1098.62557OpenAlexW2101251466MaRDI QIDQ4540103
Publication date: 21 July 2002
Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/d6479cc2b37e1a536e531456628107f5d0e87666
Neural networks for/in biological studies, artificial life and related topics (92B20) Qualitative investigation and simulation of ordinary differential equation models (34C60) Neural nets and related approaches to inference from stochastic processes (62M45)
Related Items
Global asymptotic stability of neural networks with discontinuous activations ⋮ Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays ⋮ Novel results concerning global robust stability of delayed neural networks ⋮ Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays ⋮ Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances ⋮ State estimator for neural networks with sampled data using discontinuous Lyapunov functional approach ⋮ Global point dissipativity of neural networks with mixed time-varying delays ⋮ A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach ⋮ Generalized Lyapunov approach for convergence of neural networks with discontinuous or non-Lipschitz activations ⋮ Global robust stability of delayed recurrent neural networks ⋮ Flow-invariance and stability analysis for a class of nonlinear systems with slope conditions ⋮ Adaptive robust convergence of neural networks with time-varying delays
