Abstract
In this paper the optimal regulator design is analized in the context of multicriteria optimization theory. We propose one interactive algorithm which permits us to overcome the well known difficulties when choosing the weghting matrices in the cost functional. Moreover we present a procedure to design low parameter sensitivity optimal regulators by using a bicriteria formulation. A program package is also presented. To improve the efficiency of the interactive multicriteria optimization algoritms, an interaction interpreter has been included in the package. This interpreter uses fuzzy set theory to infer sequential modifications on the quadratic index from designer qualitative linguistic diagnosis formulated for each criterion.
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