Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays.
Gnaneswaran NagamaniS. RamasamyAnke Meyer-BaesePublished in: Neural Comput. Appl. (2017)
Keyphrases
- state estimation
- markov processes
- markov chain
- hopfield neural network
- neural network
- kalman filter
- kalman filtering
- recurrent neural networks
- particle filter
- state space model
- cellular neural networks
- global exponential stability
- sequential importance sampling
- exponential stability
- cooperative
- robust stability
- stability analysis
- dynamic systems
- feed forward
- random fields
- particle filtering
- human body
- computationally efficient
- state space
- search space
- artificial neural networks
- multi agent
- feature selection