Probabilistic Performance Analysis of Fault Diagnosis Schemes
Probabilistic Performance Analysis of Fault Diagnosis Schemes
Probabilistic Performance Analysis of Fault Diagnosis Schemes
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β<br />
∆<br />
α<br />
β<br />
∆ 1<br />
. ..<br />
∆q<br />
α<br />
(a)<br />
(b)<br />
β<br />
∆<br />
α<br />
β<br />
∆ 1<br />
. ..<br />
∆q<br />
α<br />
M<br />
M 1<br />
. ..<br />
Mq<br />
(c)<br />
z<br />
(d)<br />
z<br />
Figure 5.3. Block diagrams for the interpolation results. Theorems 5.4 and 5.9 apply to diagram (a).<br />
Corollaries 5.5 and 5.10 apply to diagram (b). Theorem 5.6 applies to diagram (c) and Theorem 5.7<br />
applies to diagram to diagram (d).<br />
Theorem 5.4. Given sequences α ∈ l n 2 and β ∈ lm 2<br />
and constants γ > 0 and N ∈ N, there exists<br />
an operator ∆ ∈ ∆ 2,lti (γ), such that<br />
τ N β = τ N ∆α<br />
if and only if<br />
T ∗ N (β)T N (β) ≼ γ 2 T ∗ N (α)T N (α).<br />
For many applications, it is appropriate to impose additional structure on the interpolating<br />
operator ∆. One structure that appears frequently in the robust control literature<br />
[28, 86, 110] is the class <strong>of</strong> block-diagonal operators, which we denote ˆ∆ p (γ). As shown<br />
in [11], Theorem 5.4 is extended to operators in set ˆ∆ 2,lti (γ) by simply treating each blockpartition<br />
separately. Hence, we state this extension as a corollary <strong>of</strong> Theorem 5.4.<br />
Corollary 5.5. Given sequences α ∈ l n 2 and β ∈ lm 2<br />
and constants γ > 0 and N ∈ N, there exists<br />
an operator ∆ = diag{∆ 1 ,...,∆ q } ∈ ˆ∆ 2,lti (γ), such that<br />
τ N β = τ N ∆α<br />
if and only if<br />
T ∗ N (β i )T N (β i ) ≼ γ 2 T ∗ N (α i )T N (α i ),<br />
for i = 1,2,..., q, where α and β are partitioned such that β i = ∆ i α i .<br />
92