guidance, flight mechanics and trajectory optimization
guidance, flight mechanics and trajectory optimization
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 />
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