Neural network-based optimized robust Kalman filtering for fault estimation of high-speed trains: A descriptor system approach
Transactions of the Institute of Measurement and Control
Published online on January 13, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
This paper proposes a neural network-based optimized robust nonlinear Kalman filter for concurrent fault estimation of high-speed trains using descriptor systems. Considering the displacement and speed time delays and multi-source disturbances acting on ...
This paper proposes a neural network-based optimized robust nonlinear Kalman filter for concurrent fault estimation of high-speed trains using descriptor systems. Considering the displacement and speed time delays and multi-source disturbances acting on ...