Avtomatika i Telemekhanika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Avtomat. i Telemekh.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Avtomatika i Telemekhanika, 1991, Issue 8, Pages 101–108 (Mi at4246)  
This article is cited in 1 scientific paper (total in 1 paper)

Stochastic Systems

Maximal likelihood state estimation of an optimally controllable system

V. N. Taran

Rostov Military Institute of Rocket Troops
Full-text PDF (151 kB) Citations (1)

Received: 31.07.1990
Bibliographic databases:
Document Type: Article
UDC: 517.977.58
MSC: 93E20
Language: Russian
Citation: V. N. Taran, “Maximal likelihood state estimation of an optimally controllable system”, Avtomat. i Telemekh., 1991, no. 8, 101–108; Autom. Remote Control, 52:8 (1991), 1115–1122
Citation in format AMSBIB
\Bibitem{Tar91}
\by V.~N.~Taran
\paper Maximal likelihood state estimation of an optimally controllable system
\jour Avtomat. i Telemekh.
\yr 1991
\issue 8
\pages 101--108
\mathnet{http://mi.mathnet.ru/at4246}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1139414}
\zmath{https://zbmath.org/?q=an:0745.93074}
\transl
\jour Autom. Remote Control
\yr 1991
\vol 52
\issue 8
\pages 1115--1122
Linking options:
  • https://www.mathnet.ru/eng/at4246
  • https://www.mathnet.ru/eng/at/y1991/i8/p101
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Avtomatika i Telemekhanika
    Statistics & downloads:
    Abstract page:126
    Full-text PDF :50
    First page:2
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024