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- W1975016062 abstract "The multiobjective problems of H 2 optimal control (LQG case) and mixed H 2/H ∞ are addressed using two different approaches: Evolutionary Algorithms and Linear Matrix Inequalities (LMIs). This study illustrates with numerical examples how both approaches can be used to find the trade-off between different signal sensitivities to noise and to find the trade-off of the mixed H 2/H ∞ problem. For the mixed H 2/H ∞ example, this paper shows how a Multiobjective Genetic Algorithm (MOGA) could find an improved Pareto-optimal front compared to the LMI approach." @default.
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- W1975016062 date "2006-06-20" @default.
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- W1975016062 title "Linear matrix inequalities and evolutionary optimization in multiobjective control" @default.
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