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guidance, flight mechanics and trajectory optimization

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The minimum value of the performance index is given by<br />

(2.5.28)<br />

Two observations concerning the control law of Eq. (2.5.27) can be<br />

made. First the control law in the stochastic case in identical to the<br />

control law for the deterministic case in which the r<strong>and</strong>om variable 5 in<br />

Eq. (2.5-g) is set to zero <strong>and</strong> the criterion of minimizing the expected<br />

value of J is replaced by minimizing J itself. Dreyfus in Reference (2.4.1)<br />

refers to this property as "certainty equivalence" <strong>and</strong> points out that<br />

it occurs infrequently in stochastic problems. However, a non-linear<br />

example of certainty equivalence is given in Reference (2.5.1). A second<br />

observation is that the.control law is an explicit function of the state,<br />

the actual system output. To implement this law, the state must be<br />

observed at each instant of time, a requirement that can be met only in the<br />

perfectly observable case; that is, the control law could not be<br />

implemented if something less than perfect knowledge of the system output<br />

were available. This point clearly demonstrates that the optimal control<br />

law in a stochastic problem is very much a function of the type of<br />

observational data being collected.<br />

For the treatment of additional stochastic problems in which perfect<br />

observability is assumed, the reader is referred to References (2.l.3),<br />

(2.4.1), (2.5-l) <strong>and</strong> (2.5.2).<br />

2.5.2.2 Perfectly Inobservable Case<br />

In this case, it is assumed that no knowledge of the output of the<br />

system is available for f p t, . A diagram of this type of controller<br />

is given in Sketch (2.5.2) below.<br />

,f (Disturbing forces)<br />

Sketch (2.5.2)<br />

118

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