Title :
Estimation and control in the presence of uniform measurement noise
Author :
Ofori, S. ; Sims, C.S.
Author_Institution :
West Virginia University, Montgomery, WV
Abstract :
In this paper we develop the optimal estimation algorithm for linear systems having an arbitrary initial condition density function and uniform measurement noise. The feedback controller which minimizes a quadratic performance measure is also indicated Experiments have demonstrated improved performance relative to linear solutions using a Kalman filter.
Keywords :
Bayesian methods; Density functional theory; Density measurement; Kalman filters; Linear systems; Noise measurement; Performance evaluation; Recursive estimation;
Conference_Titel :
Decision and Control, 1982 21st IEEE Conference on
Conference_Location :
Orlando, FL, USA
DOI :
10.1109/CDC.1982.268378
