Optimal state-vector estimation for non-Gaussian initial state-vector

1971 ◽  
Vol 16 (2) ◽  
pp. 197-198 ◽  
Author(s):  
D. Lainiotis ◽  
S. Park ◽  
R. Krishnaiah
Keyword(s):  
State Vector ◽  
Initial State ◽  
Initial State Vector ◽  
Optimal State ◽  
Vector Estimation ◽  
Non Gaussian

Injection State Vector Estimation from Flight Data Analysis of a Spinning Apogee Stage

1986 ◽  
pp. 239-242
Author(s):  
V. Adimurthy ◽  
P. V. Subba Raju ◽  
D. R. Manohar ◽  
P. Vilasini ◽  
Radhika B. Ramnath
Keyword(s):  
Data Analysis ◽  
State Vector ◽  
Flight Data ◽  
Vector Estimation

scholarly journals The Pole Position in October 1980 as Determined from Lageos Laser Data

1981 ◽  
Vol 63 ◽  
pp. 139-139 ◽  
Author(s):  
Ch. Reigber ◽  
H. Mueller ◽  
W. Wende
Keyword(s):  
Time Resolution ◽  
State Vector ◽  
Pole Position ◽  
Tracking Data ◽  
Initial State ◽  
Mean Values ◽  
Laser Tracking ◽  
Laser Data ◽  
Correction Program ◽  
Short Arc

On the basis of 223 passes of Lageos Laser Tracking data taken in October 1980 during the MERIT short arc campaign from 13 tracking sites, the pole position was determined in the orbit correction program MGM along with the initial state vector. This analysis was done for a varying time resolution (5-1 days).Basis of our computation is the GRIM3P gravity model and a station position set derived by UTEX and partly by the DGF1. The formal sigma of the 5 and 2.5 mean values for the pole coordinates is generally about 0.005 arc-seconds.

KETEROBSERVASIAN SISTEM LINIER DISKRIT

2015 ◽  
Vol 4 (1) ◽  
pp. 108
Author(s):  
Midian Manurung
Keyword(s):  
Linear System ◽  
Discrete Time ◽  
State Vector ◽  
The State ◽  
Input Vector ◽  
Linear Control ◽  
Time Interval ◽  
Initial State ◽  
Time Invariant ◽  
Time Linear

Given the following discrete time-invariant linear control systems:where x 2 Rnx(t + 1) = Ax(t) + Bu(t);y(t) = Cx(t);is the state vector, u 2 Rmis an input vector, y 2 Rris dened as anoutput, A 2 Rnn, B 2 Rnm, and t 2 Zis dened as time. Linear system is said to beobservable on the nite time interval [t0; t+f] if any initial state xis uniquely determinedby the output y(t) over the same time interval. In order to examine the observabilityof the system, we will use a criteria, that is by determining the observability Gramianmatrix of the system is nonsingular and rank of the observability matrix for the systemis n.

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