Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337

Volumes:
Volume 51, 2019 Volume 50, 2018 Volume 49, 2017 Volume 48, 2016 Volume 47, 2015 Volume 46, 2014 Volume 45, 2013 Volume 44, 2012 Volume 43, 2011 Volume 42, 2010 Volume 41, 2009 Volume 40, 2008 Volume 39, 2007 Volume 38, 2006 Volume 37, 2005 Volume 36, 2004 Volume 35, 2003 Volume 34, 2002 Volume 33, 2001 Volume 32, 2000 Volume 31, 1999 Volume 30, 1998 Volume 29, 1997 Volume 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v36.i1.50
pages 38-49

Contradiction between Conditions of Mean-Root Square Error Minimization and Integral Root Mean Estimate in Tracking Systems with the Principle of Deviation Control

Grigoriy F. Zaitsev
State University of Information and Communication Technologies, Kiev
Grigoriy D. Radzivilov
Kiev Military Institute of Telecommunication and Informatics of National Technical University of Ukraine "Kiev Polytechnical Institute", Ukraine
Nelya V. Gradoboyeva
State University of Information and Communication Technologies, Kiev, Ukraine

RÉSUMÉ

It is shown that in contrast to open-loop systems peculiarity of automatic control systems with control principle based on deviation (systems with negative feedback) consists in contradiction between conditions of minimality of error and quadratic integral estimate of transient processes on entering its input of one random set-point action. It was ascertained that the minimal value of mean-root square error for these systems is reached for values of their amplification factor for open-loop state close to stability threshold, when slowly decreasing transient processes arise (considerable quadratic integral estimates). We construct recommendations for compromise selection of amplification factor of the tracking system.