H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol.
Hongjian LiuZidong WangWeiyin FeiJiahui LiPublished in: Neural Networks (2020)
Keyphrases
- state estimation
- round robin
- finite horizon
- infinite horizon
- optimal policy
- load balancing
- markov decision processes
- kalman filter
- single product
- particle filter
- dynamic systems
- multistage
- visual tracking
- markov decision process
- kalman filtering
- particle filtering
- average cost
- non stationary
- dynamic programming
- rule learning
- state space
- multi sensor
- long run
- sufficient conditions
- motion estimation