A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems

For a multivariable system with moving average noise (i.e., a multivariable controlled autoregressive moving average system), this paper proposes a filtering based extended stochastic gradient (ESG) algorithm and a filtering based multi-innovation ESG algorithm for improving the parameter estimation...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of control, automation, and systems Jg. 15; H. 3; S. 1189 - 1197
Hauptverfasser:	Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.06.2017 Springer Nature B.V 제어·로봇·시스템학회
Schlagworte:	Algorithms Autoregressive moving average Computer simulation Control Control systems Engineering Filtering systems Filtration Innovations Mathematical models Mechatronics Multivariable control Parameter estimation Parameter identification Regular Papers Robotics Simulation Stochastic models Studies 제어계측공학 stochastic system parameter estimation filtering gradient search Estimation algorithm multi-innovation identification
ISSN:	1598-6446, 2005-4092
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!