guidance, flight mechanics and trajectory optimization
guidance, flight mechanics and trajectory optimization
guidance, flight mechanics and trajectory optimization
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thus, verifying that the solution is a straight line with slope given by<br />
Eq. (2.4.34).<br />
2.4.4 Additional Properties of the Optimal Solution<br />
The solution to the problem of minimizing the integral<br />
(2.4.35)<br />
is usually developed by means of the Calculus of Variations with the<br />
development consisting of the establishment of certain necessary conditions<br />
which the optimal solution must satisfy. In this section, it will be shown<br />
that four of these necessary conditions resulting from an application of<br />
the Calculus of Variations can also be derived through Dynamic Programming.<br />
In the previous sections it was shown that the function R(x,f)defined<br />
by<br />
% fi<br />
R(Z,y) = hh’<br />
Y’<br />
f +-tz,qc,y*)d$<br />
‘9%<br />
(2.4.36)<br />
satisfies the partial differential equation<br />
flx,y,y’) + g f akz<br />
’ = 0 (2.4.3-i’)<br />
Setting the first derivative with respect to .# ' to zero in this equation<br />
provides the additional condition<br />
Also, if y' is to minimize the bracketed quantity in (2.4.37), then the<br />
second derivative<br />
or equal to zero.<br />
(2.4.38)<br />
of this quantity with respect to f" must be greater than<br />
Hence the condition,<br />
(2.4.39)<br />
must be satisfied along the optimai solution. This condition is referred<br />
to as the Legendre condition in the Calculus of Variations.<br />
A slightly stronger condition than that in (2.4.39) can be developed<br />
by letting u& denote the optimal solution <strong>and</strong> Y’ denote any other<br />
solution. Then from (2.4.37)<br />
aR aR ,<br />
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