Finite-Horizon $H_{\infty }$ State Estimation for Discrete Time-Varying Artificial Neural Networks: An Accumulation-Based Event-Triggered Mechanism.
Jiyue GuoZidong WangLei ZouHongli DongPublished in: IEEE Trans. Netw. Sci. Eng. (2022)
Keyphrases
- state estimation
- finite horizon
- artificial neural networks
- optimal policy
- infinite horizon
- optimal stopping
- kalman filter
- state space model
- global exponential stability
- markov decision processes
- kalman filtering
- particle filter
- dynamic systems
- neural network
- single product
- multistage
- visual tracking
- particle filtering
- average cost
- sufficient conditions
- non stationary
- object tracking
- higher order
- inventory policy
- probabilistic model
- search space
- yield management