Longwall mining automation an application of minimum-variance smoothing [Applications of Control]
Garry Einicke, Jonathon C. Ralston, Chad Owen Hargrave, David C. Reid, David W. Hainsworth · IEEE Control Systems · 2008
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).