Necessary and sufficient condition for absolute stability of normal neural networks.
Tianguang ChuCishen ZhangZongda ZhangPublished in: Neural Networks (2003)
Keyphrases
- sufficient conditions
- lyapunov function
- neural network
- asymptotic stability
- uniform convergence
- equilibrium point
- exponential stability
- hopfield neural network
- global exponential stability
- fixed point
- fuzzy logic
- fuzzy systems
- genetic algorithm
- linear matrix inequality
- robust stability
- artificial neural networks
- nonlinear systems
- learning rules
- linear complementarity problem
- control method
- optimal control
- soft computing
- neural nets
- dynamical systems
- delay dependent