guidance, flight mechanics and trajectory optimization
guidance, flight mechanics and trajectory optimization
guidance, flight mechanics and trajectory optimization
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Let Y tt) denote the observations that are made on the interval<br />
(t,, t) , that is<br />
The expected value of the functional J can be written as<br />
(2.5.60)<br />
(2.5.61)<br />
where p(;r,v,,C) is the joint density function for x <strong>and</strong> as developed<br />
from the density functions<br />
included since the control<br />
for<br />
u(t)<br />
f , +7 <strong>and</strong> ;r, . The vari i? ble<br />
Y<br />
must be<br />
will depend on, <strong>and</strong> vary with, the<br />
observations. Now the density P(x $W) can be expressed as<br />
plx, $Q,t! = p(x, qvpcy!<br />
where ptX, t/v) is the probability density of F conditioned on .<br />
Also, the expected value of some function K(x, y' can be written a<br />
Using this result, the performance index in Eq. (2.5.61) can be written<br />
125