state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbances.
Myeong-Jin ParkOh-Min KwonJu H. ParkSang-Moon LeeEun-Jong ChaPublished in: Neurocomputing (2015)
Keyphrases
- state estimation
- neural network
- global exponential stability
- hopfield neural network
- recurrent neural networks
- kalman filter
- state space model
- dynamic systems
- particle filter
- cellular neural networks
- kalman filtering
- visual tracking
- stability analysis
- probabilistic model
- particle filtering
- spatio temporal
- exponential stability
- bayesian networks
- posterior probability
- power system
- back propagation
- generative model
- sufficient conditions
- artificial neural networks
- fuzzy systems
- video sequences
- robust stability