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Linear Matrix Inequalities in Control

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Optimization problems<br />

1 What is least possible cost? Compute optimal value<br />

fopt := <strong>in</strong>f f(x) = <strong>in</strong>f{f(x) | x ∈ S} ≥ −∞<br />

x∈S<br />

Convention: S = ∅ then fopt = +∞<br />

Convention: If fopt = −∞ then problem is said to be unbounded<br />

2 How to determ<strong>in</strong>e almost optimal solutions? For arbitrary ε > 0 f<strong>in</strong>d<br />

xε ∈ S with fopt ≤ f(xε) ≤ fopt + ε.<br />

3 Is there an optimal solution (or m<strong>in</strong>imizer)? Does there exist<br />

xopt ∈ S with fopt = f(xopt)<br />

4 Can we calculate all optimal solutions? (Non)-uniqueness<br />

arg m<strong>in</strong> f(x) := {x ∈ S | fopt = f(x)}<br />

Siep Weiland and Carsten Scherer (DISC) <strong>L<strong>in</strong>ear</strong> <strong>Matrix</strong> <strong>Inequalities</strong> <strong>in</strong> <strong>Control</strong> Class 1 12 / 59

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