Global optimization approach for the H2-norm model reduction problem
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Abstract
A branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds used in the optimization procedure are obtained through Linear Matrix Inequalities formulations. Examples illustrate the results.
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English
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Proceedings of the IEEE Conference on Decision and Control, v. 2, p. 1857-1862.
