Standard

Strongly dynamically stable optimality principles in multicriterial optimal control problems. / Petrosyan, L. A.

в: Journal of Computer and Systems Sciences International, Том 32, № 2, 01.03.1994, стр. 146-150.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Petrosyan, LA 1994, 'Strongly dynamically stable optimality principles in multicriterial optimal control problems', Journal of Computer and Systems Sciences International, Том. 32, № 2, стр. 146-150.

APA

Petrosyan, L. A. (1994). Strongly dynamically stable optimality principles in multicriterial optimal control problems. Journal of Computer and Systems Sciences International, 32(2), 146-150.

Vancouver

Petrosyan LA. Strongly dynamically stable optimality principles in multicriterial optimal control problems. Journal of Computer and Systems Sciences International. 1994 Март 1;32(2):146-150.

Author

Petrosyan, L. A. / Strongly dynamically stable optimality principles in multicriterial optimal control problems. в: Journal of Computer and Systems Sciences International. 1994 ; Том 32, № 2. стр. 146-150.

BibTeX

@article{0a20af95d45e42dea16e6014f13e2eba,
title = "Strongly dynamically stable optimality principles in multicriterial optimal control problems",
abstract = "The overwhelming majority of optimality principles in multicriterial optimal control theory do not satisfy the condition of strong dynamic stability or strong time-consistency. Only principles based on making the criteria scalar are the exception. A method for regularizing the familiar optimality principles by expanding them is proposed, and provides strong dynamic stability. The idea of the method consists of attaching to the set of optimal trajectories all the possible envelopes for the families of optimal trajectories in the current multicriterial optimal control subproblems.",
author = "Petrosyan, {L. A.}",
year = "1994",
month = mar,
day = "1",
language = "English",
volume = "32",
pages = "146--150",
journal = "Journal of Computer and Systems Sciences International",
issn = "1064-2307",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "2",

}

RIS

TY - JOUR

T1 - Strongly dynamically stable optimality principles in multicriterial optimal control problems

AU - Petrosyan, L. A.

PY - 1994/3/1

Y1 - 1994/3/1

N2 - The overwhelming majority of optimality principles in multicriterial optimal control theory do not satisfy the condition of strong dynamic stability or strong time-consistency. Only principles based on making the criteria scalar are the exception. A method for regularizing the familiar optimality principles by expanding them is proposed, and provides strong dynamic stability. The idea of the method consists of attaching to the set of optimal trajectories all the possible envelopes for the families of optimal trajectories in the current multicriterial optimal control subproblems.

AB - The overwhelming majority of optimality principles in multicriterial optimal control theory do not satisfy the condition of strong dynamic stability or strong time-consistency. Only principles based on making the criteria scalar are the exception. A method for regularizing the familiar optimality principles by expanding them is proposed, and provides strong dynamic stability. The idea of the method consists of attaching to the set of optimal trajectories all the possible envelopes for the families of optimal trajectories in the current multicriterial optimal control subproblems.

UR - http://www.scopus.com/inward/record.url?scp=0028384810&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0028384810

VL - 32

SP - 146

EP - 150

JO - Journal of Computer and Systems Sciences International

JF - Journal of Computer and Systems Sciences International

SN - 1064-2307

IS - 2

ER -

ID: 36952085