Less conservative stability criteria for stochastic discrete-time recurrent neural networks with the time-varying delay.
Liyuan HouHong ZhuShouming ZhongYuping ZhangYong ZengPublished in: Neurocomputing (2013)
Keyphrases
- recurrent neural networks
- lyapunov krasovskii functional
- delay dependent
- asymptotic stability
- global exponential stability
- neural network
- exponential stability
- robust stability
- sufficient conditions
- stability criterion
- markov processes
- linear matrix inequality
- feed forward
- optimal control problems
- markov chain
- complex valued
- feedforward neural networks
- loss probability
- recurrent networks
- hopfield neural network
- neural model
- echo state networks
- reservoir computing
- cascade correlation
- lyapunov function
- artificial neural networks
- long short term memory
- closed loop
- nonlinear dynamic systems
- machine learning
- optimal control
- steady state
- state space
- genetic algorithm