Maximum Likelihood Multi-innovation Stochastic Gradient Estimation for Multivariate Equation-error Systems

This paper focuses on the parameter estimation problems of multivariate equation-error systems. A multi-innovation generalized extended stochastic gradient algorithm is presented as a comparison. Based on the maximum likelihood principle and the coupling identification concept, the multivariate equa...

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Vydáno v:	International journal of control, automation, and systems Ročník 16; číslo 5; s. 2528 - 2537
Hlavní autoři:	Liu, Lijuan, Ding, Feng, Wang, Cheng, Alsaedi, Ahmed, Hayat, Tasawar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.10.2018 Springer Nature B.V 제어·로봇·시스템학회
Témata:	Algorithms Antiship missiles Control Engineering Filtration Guidance systems Kalman filters Measurement techniques Mechatronics Missile control Parameter estimation Regular Papers Robotics Satellites Sensors Time lag 제어계측공학 multi-innovation stochastic gradient multivariate system Maximum likelihood
ISSN:	1598-6446, 2005-4092
On-line přístup:	Získat plný text
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