In this paper we present a methodology to obtain converging lower and upper bounds to a multiple objective problem where an H₂ performance objective is minimized subject to an ₁ constraint. This methodology gives a computationally efficient synthesis procedure by avoiding many of the problems that are present in methods that employ zero interpolation techniques to characterize achievable closed loop maps.
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Salapaka et al. (1999) studied this question.
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