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...

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Vydáno v:	International journal of control, automation, and systems Ročník 15; číslo 3; s. 1189 - 1197
Hlavní autoři:	Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	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
Témata:	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
On-line přístup:	Získat plný text
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