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Stability of a Random Riccati Equation With Markovian Binary Switching

Author
LI XIE1 ; LIHUA XIE2
[1] Department of Automatic Control, Beijing Institute of Technology, Beijing 100081, China
[2] School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore
Source

IEEE transactions on automatic control. 2008, Vol 53, Num 7, pp 1759-1764, 6 p ; ref : 15 ref

CODEN
IETAA9
ISSN
0018-9286
Scientific domain
Control theory, operational research
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Kalman filtering observation losses random Riccati equations stability stopping time
Keyword (fr)
Approche probabiliste Covariance Equation Riccati Equation différences Filtre Kalman Information incomplète Matrice covariance Observabilité Processus Markov Processus saut Système conservatif Temps arrêt
Keyword (en)
Probabilistic approach Covariance Riccati equation Difference equation Kalman filter Incomplete information Covariance matrix Observability Markov process Jump process Conservative system Stopping time
Keyword (es)
Enfoque probabilista Covariancia Ecuación Riccati Ecuación diferencias Filtro Kalman Información incompleta Matriz covariancia Observabilidad Proceso Markov Proceso salto Sistema coservativo Tiempo parada
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D05 Modelling and identification

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20641517

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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