Nonlinear unknown input observer based on singular value decomposition aided reduced dimension cubature Kalman filter

DOI10.1155/2017/1267380zbMath1426.93345OpenAlexW2592474787WikidataQ59147217 ScholiaQ59147217MaRDI QIDQ1992307

Yanyan Li

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/1267380

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) System identification (93B30) Estimation and detection in stochastic control theory (93E10)

Cites Work

• Unnamed Item
• Unnamed Item
• Multivariable feedback particle filter
• A stochastic unknown input realization and filtering technique
• Partial state observers for linear systems with unknown inputs
• New approach to information fusion steady-state Kalman filtering
• Distributed Kalman filtering via node selection in heterogeneous sensor networks
• Dissipative design of unknown input observers for systems with sector nonlinearities
• H∞ estimation for uncertain systems
• A framework for state-space estimation with uncertain models

This page was built for publication: Nonlinear unknown input observer based on singular value decomposition aided reduced dimension cubature Kalman filter