1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135

49

IMAGE Imgs/thesis.final.w679.gif

Figure 3.21-

Unobserved state problem. Two unperturbed RV
trajectories beginning with identical values for Q
but different initial states.
i

Because of the variation of Qnomand Jfrom one step to the next, it is (unfortunately) necessary to

construct a new discrete system model for each step. This is done by sampling h(Ki) to determine

the model parameters for the current step, Qinomand Ji.


The inverse of this linear model, J-1, is

then used to choose the perturbation scalings necessary to reach Qid
+1.

process for a one-dimensional system.

Figure 3.22 illustrates this

IMAGE Imgs/thesis.final.w681.gif

IMAGE Imgs/thesis.final.w680.gif

Qd

IMAGE Imgs/thesis.final.w682.gif

sample point

extrapolated perturbation value


Figure 3.22-

Model construction and extrapolation.k1and k2are
two sample points used to construct the forward
model. The inverse model and Q
dyield the
necessary applied perturbation scaling, k
*

[CONVERTED BY MYRMIDON]