Finite-time non-fragile state estimation for discrete neural networks with sensor failures, time-varying delays and randomly occurring sensor nonlinearity.
Jian-Ning LiYu-Fei XuWen-Dong BaoZhu-Jian LiLin-Sheng LiPublished in: J. Frankl. Inst. (2019)
Keyphrases
- state estimation
- neural network
- sensor data
- recurrent neural networks
- multi sensor
- hopfield neural network
- particle filter
- kalman filter
- cellular neural networks
- dynamic systems
- back propagation
- super resolution
- remote sensing
- visual tracking
- feed forward
- infrared
- stability analysis
- artificial neural networks
- image segmentation
- machine learning