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guidance, flight mechanics and trajectory optimization

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#R<br />

where tr denotes the trace of the matrix C(f) ~7 . This last term is<br />

derived from the expected value of the'quantity<br />

E<br />

f(T)<br />

f'T'f+4t<br />

f<br />

f'rLt*At<br />

(2.5.18)<br />

The Dirac delta appearing in the variance expression for F in Eq. (2.5.10)<br />

causes this term to reduce to first order in dt . Substitution of<br />

Eq. (2.5.18) into (2.5.16) <strong>and</strong> taking the ,limit as At goes to zero<br />

provides the final result<br />

The boundary condition on Rtz,t) is easily developed from the<br />

definition of R given in (2.5.13). Thus,<br />

or alternately<br />

Rx,+) =;rTA;r (2.5.20‘)<br />

Eq. (2.5.19) is similar to that developed in the deterministic case<br />

[ see Equation (2.4.113)] , the only difference being the appearance of<br />

the term $(r;$) . This, however, is a major difference.<br />

Wh;Lle the Bellman equation is a first order partial differential equation<br />

<strong>and</strong> can be solved in a straightforward manner using the method of<br />

characteristics, this equation is a second order equation of the diffusion<br />

type. As a general rule, diffusion processes are rather difficult to<br />

solve. Fortunately, Eq. (2.5.19) solves rather easily.<br />

116

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