Standard

Adaptive passification of nonlinear systems. / Seron, Maria M.; Hill, David J.; Fradkov, Alexander L.

в: Proceedings of the IEEE Conference on Decision and Control, Том 1, 1994, стр. 190-195.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

Harvard

Seron, MM, Hill, DJ & Fradkov, AL 1994, 'Adaptive passification of nonlinear systems', Proceedings of the IEEE Conference on Decision and Control, Том. 1, стр. 190-195.

APA

Seron, M. M., Hill, D. J., & Fradkov, A. L. (1994). Adaptive passification of nonlinear systems. Proceedings of the IEEE Conference on Decision and Control, 1, 190-195.

Vancouver

Seron MM, Hill DJ, Fradkov AL. Adaptive passification of nonlinear systems. Proceedings of the IEEE Conference on Decision and Control. 1994;1:190-195.

Author

Seron, Maria M. ; Hill, David J. ; Fradkov, Alexander L. / Adaptive passification of nonlinear systems. в: Proceedings of the IEEE Conference on Decision and Control. 1994 ; Том 1. стр. 190-195.

BibTeX

@article{f6bb6cb9e4d74762a68cf863690c5d71,
title = "Adaptive passification of nonlinear systems",
abstract = "In this paper we consider feedback passive systems, defined as nonlinear systems that can be rendered (strictly) passive by means of state feedback. For feedback passive systems in a parametric normal form, we present an adaptive controller that effectively 'passifies' the system. The proposed control uses techniques of Speed-Gradient (S-G) methodology from the Russian literature. Stability results can be given which do not require the plant to be linear in the parameters. Moreover, examples indicate that the S-G approach has several good features such as avoiding overparametrization, preserving physical structure and improving the speed of convergence.",
author = "Seron, {Maria M.} and Hill, {David J.} and Fradkov, {Alexander L.}",
year = "1994",
language = "English",
volume = "1",
pages = "190--195",
journal = "Proceedings of the IEEE Conference on Decision and Control",
issn = "0191-2216",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
note = "Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4) ; Conference date: 14-12-1994 Through 16-12-1994",

}

RIS

TY - JOUR

T1 - Adaptive passification of nonlinear systems

AU - Seron, Maria M.

AU - Hill, David J.

AU - Fradkov, Alexander L.

PY - 1994

Y1 - 1994

N2 - In this paper we consider feedback passive systems, defined as nonlinear systems that can be rendered (strictly) passive by means of state feedback. For feedback passive systems in a parametric normal form, we present an adaptive controller that effectively 'passifies' the system. The proposed control uses techniques of Speed-Gradient (S-G) methodology from the Russian literature. Stability results can be given which do not require the plant to be linear in the parameters. Moreover, examples indicate that the S-G approach has several good features such as avoiding overparametrization, preserving physical structure and improving the speed of convergence.

AB - In this paper we consider feedback passive systems, defined as nonlinear systems that can be rendered (strictly) passive by means of state feedback. For feedback passive systems in a parametric normal form, we present an adaptive controller that effectively 'passifies' the system. The proposed control uses techniques of Speed-Gradient (S-G) methodology from the Russian literature. Stability results can be given which do not require the plant to be linear in the parameters. Moreover, examples indicate that the S-G approach has several good features such as avoiding overparametrization, preserving physical structure and improving the speed of convergence.

UR - http://www.scopus.com/inward/record.url?scp=0028748104&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0028748104

VL - 1

SP - 190

EP - 195

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

SN - 0191-2216

T2 - Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4)

Y2 - 14 December 1994 through 16 December 1994

ER -

ID: 91882613