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Linear Matrix Inequalities in Control

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Duality and convex programs<br />

Some term<strong>in</strong>ology:<br />

Remarks:<br />

Lagrange function: L(x, y, z)<br />

Lagrange dual cost: ℓ(y, z)<br />

Lagrange dual optimization problem:<br />

Dopt := sup ℓ(y, z)<br />

y≥0, z<br />

ℓ(y, z) computed by solv<strong>in</strong>g an unconstra<strong>in</strong>ed optimization problem.<br />

Is concave function.<br />

Dual problem is concave maximization problem. Constra<strong>in</strong>ts are<br />

simpler than <strong>in</strong> primal problem<br />

Ma<strong>in</strong> question: when is Dopt = Popt?<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 35 / 59

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