Linear Matrix Inequalities for RobustStrictly Positive Real
نویسنده
چکیده
A necessary and suucient condition is proposed for the existence of a xed polynomial p(s) such that the rational function p(s)=q(s) is robustly strictly positive real when q(s) is a given Hurwitz polynomial with polytopic uncertainty. It turns out that the whole set of candidates p(s) is a convex subset of the cone of positive semideenite matrices, resulting in a straightforward strictly positive real design algorithm based on linear matrix inequalities.
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