Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint.
Bin ZhangHong-Xia RaoYunsong DengHao WuYinxia ZhuPublished in: Neurocomputing (2020)
Keyphrases
- state estimation
- finite horizon
- neural network
- global exponential stability
- infinite horizon
- optimal policy
- markov decision processes
- particle filter
- multistage
- multi sensor
- kalman filter
- state space model
- visual tracking
- single product
- dynamic systems
- markov decision process
- particle filtering
- kalman filtering
- average cost
- sensor networks
- state space
- yield management
- real time
- linear programming
- dynamic programming
- control system