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guidance, flight mechanics and trajectory optimization

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or, as<br />

. -... .-. . .._-_---<br />

to indicate that the minimization is performed through the selection of the<br />

control u <strong>and</strong> that this control must lie in the set U .<br />

To generalize Eq. (2.4.106), let&t,xti)) denote the minimum value of<br />

the performance index for the solution which starts at the point (t, x(t))<br />

<strong>and</strong> satisfies the constraint conditions of Eqs. (2.4.103) <strong>and</strong> (2.4.104);<br />

that is,<br />

Similarly,<br />

(2.4.106)<br />

(2.4.107)<br />

where the solution starts at the point ($t~t , XC($+&)) <strong>and</strong> satisfies<br />

constraints (2.4.103) <strong>and</strong> (2.4.104). Now, the Principle of Optimality states<br />

that if a solution which starts at the point (t, x(t)) is at the point<br />

(ttdt,xlttAL)) after the first decision or the first set of decisions<br />

1,<br />

L<br />

all the remaining decisions must be<br />

op in-al decisions if the solution itself<br />

is to be optimal. Putting this statement into mathematical form, leads to<br />

the equation<br />

Q(f) xtt)) = M/N<br />

U(T)C U<br />

(f L ‘t* ttat)<br />

I<br />

R (8 tot, pAttAt))+ .-b,u)nt (2.4.109)<br />

Note the similarity between this equation <strong>and</strong> Eq. (2.4.21) developed for the<br />

problem of Lagrange. Again, it is to be emphasized that Eq. (2.4.109) is<br />

simply a mathematical statement of how the search procedure for the decision<br />

sequence is to be conducted.<br />

88

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