Longwall mining automation an application of minimum-variance smoothing [Applications of Control]

Autor:	G.A. Einicke, D.W. Hainsworth, Chad Hargrave, David C. Reid, Jonathon C. Ralston
Rok vydání:	2008
Předmět:	Engineering business.industry Control (management) Control engineering Kalman filter Automation Mining industry Minimum-variance unbiased estimator Control and Systems Engineering Modeling and Simulation Control system Longwall mining Electrical and Electronic Engineering business Smoothing
Zdroj:	IEEE Control Systems. 28:28-37
ISSN:	1941-000X 1066-033X
DOI:	10.1109/mcs.2008.929281
Popis:	This article reviews the development of the minimum-variance smoother and describes its use in longwall automation. We describe both continuous- and discrete-time smoother solutions. It is shown, under suitable assumptions, that the two-norm of the smoother estimation error is less than that for the Kalman filter. A simulation study is presented to compare the performance of the minimum-variance smoother with the methods of H.E. Rauch et al. (1965), and D.C. Fraser and J.E. Potter (1969).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a35af8740566a94d7807509f250acd36 https://doi.org/10.1109/mcs.2008.929281 Zobrazit plný text záznamu