Publication:
Determining the Upper Bound of the Spectral Norm of a Random Matrix and Its Application to Diagnosis of the Kalman Filter

Loading...
Thumbnail Image

Advisor

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media LLC

Research Projects

Organizational Units

Journal Issue

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Description

Subject

Random matrices (algebraic aspects), spectral norm, Norms of matrices, numerical range, applications of functional analysis to matrix theory, random matrix, Kalman filter, dynamic diagnosis, Inequalities involving eigenvalues and eigenvectors, Filtering in stochastic control theory, Signal detection and filtering (aspects of stochastic processes)

Citation

Collections

Endorsement

Review

Supplemented By

Referenced By

Related Goal

1

Views

0

Downloads
View PlumX Details