On finite-horizon H∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol.
Hongjian LiuZidong WangWeiyin FeiJiahui LiFuad E. AlsaadiPublished in: Inf. Sci. (2021)
Keyphrases
- state estimation
- communication protocol
- finite horizon
- neural network
- control policies
- optimal policy
- infinite horizon
- markov decision processes
- inventory models
- kalman filter
- kalman filtering
- inventory control
- dynamic systems
- particle filter
- single product
- multistage
- markov decision process
- visual tracking
- particle filtering
- artificial neural networks
- wifi
- non stationary
- average cost
- finite number
- reinforcement learning
- neural network model
- long run
- state space
- search algorithm
- complex systems
- finite state
- signal processing
- optimal control
- real time