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HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...

HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...

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Using the exogenous variables time-series we estimate:<br />

0.009868042 ≤<br />

[<br />

]<br />

(1 − E ice (t)) ∗ a 0 ∗ e (0.06933∗E T H 2 O(t))<br />

≤ 0.6060888 (25)<br />

Using (24), (37) and dropping the subtracted elements we find the upper bound to<br />

be,<br />

We may rewrite as follow,<br />

dP<br />

[<br />

]<br />

dt ≤ (0.6060888)(1)(1 − a 6 ) − (a 9 + a 19 ) P<br />

} {{ }<br />

α u<br />

For the lower bound, since (24) and (23):<br />

dP<br />

≤ α<br />

dt u P where α u = 0.4720906<br />

We may rewrite as follow,<br />

dP<br />

dt ≥ − (a 9 + a 19 ) P − a<br />

} {{ } 13 K<br />

α l<br />

dP<br />

dt<br />

≥ −α l P − K<br />

where α l = 0.032101<br />

Using proposition 1 we get,<br />

∴ (P 0 + K α l<br />

)e −α lt − K α l<br />

≤ P (t) ≤ P 0 e αut (26)<br />

P (t) > 0 ∈ (0, +∞)<br />

50

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