Standard

Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems. / Andrievsky, B. R.; Fradkov, A. L.; Kaufman, H.

в: Proceedings of the American Control Conference, Том 2, 1994, стр. 1265-1266.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Andrievsky, BR, Fradkov, AL & Kaufman, H 1994, 'Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems', Proceedings of the American Control Conference, Том. 2, стр. 1265-1266.

APA

Andrievsky, B. R., Fradkov, A. L., & Kaufman, H. (1994). Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems. Proceedings of the American Control Conference, 2, 1265-1266.

Vancouver

Andrievsky BR, Fradkov AL, Kaufman H. Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems. Proceedings of the American Control Conference. 1994;2:1265-1266.

Author

Andrievsky, B. R. ; Fradkov, A. L. ; Kaufman, H. / Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems. в: Proceedings of the American Control Conference. 1994 ; Том 2. стр. 1265-1266.

BibTeX

@article{f9257cdfd2654b2dbbc2766eaae83ffa,
title = "Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems",
abstract = "It is shown that almost strict positive realness (ASPR) of a linear system is equivalent to its hyper minimum phaseness. The reformulation and extension of stability conditions for some classes of direct adaptive control systems are given based on the hyper minimum phaseness of the plant. The new conditions are easy to check and helpful for establishing interrelations between implicit adaptive control [1] and adaptive control with an implicit reference model [3-5].",
author = "Andrievsky, {B. R.} and Fradkov, {A. L.} and H. Kaufman",
year = "1994",
language = "English",
volume = "2",
pages = "1265--1266",
journal = "Proceedings of the American Control Conference",
issn = "0743-1619",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
note = "1994 American Control Conference ; Conference date: 29-06-1994 Through 01-07-1994",

}

RIS

TY - JOUR

T1 - Necessary and sufficient conditions for almost strict positive realness and their application to direct implicit adaptive control systems

AU - Andrievsky, B. R.

AU - Fradkov, A. L.

AU - Kaufman, H.

PY - 1994

Y1 - 1994

N2 - It is shown that almost strict positive realness (ASPR) of a linear system is equivalent to its hyper minimum phaseness. The reformulation and extension of stability conditions for some classes of direct adaptive control systems are given based on the hyper minimum phaseness of the plant. The new conditions are easy to check and helpful for establishing interrelations between implicit adaptive control [1] and adaptive control with an implicit reference model [3-5].

AB - It is shown that almost strict positive realness (ASPR) of a linear system is equivalent to its hyper minimum phaseness. The reformulation and extension of stability conditions for some classes of direct adaptive control systems are given based on the hyper minimum phaseness of the plant. The new conditions are easy to check and helpful for establishing interrelations between implicit adaptive control [1] and adaptive control with an implicit reference model [3-5].

UR - http://www.scopus.com/inward/record.url?scp=0028564553&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0028564553

VL - 2

SP - 1265

EP - 1266

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

SN - 0743-1619

T2 - 1994 American Control Conference

Y2 - 29 June 1994 through 1 July 1994

ER -

ID: 97266600