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Convexity of diagonally scaled infinity norm optimal control problems-the square, one-sided case

机译:对角尺度无穷范数最优控制问题的凸性-正方形单边情况

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A diagonally scaled multivariable L/sup infinity / optimization problem is reduced to finite-dimensional convex optimization for the case of square T/sub 12/, T/sub 21/d, T/sub 11/ in (H/sup infinity /)/sup n*n/ and either T/sub 12/ or T/sub 21/ containing no RHP zeros, i.e. the square, one-sided case. The solution to this problem plays a key role in the design of multivariable feedback controllers which optimize the excess stability margin or, equivalently, the structured singular value mu .
机译:对角缩放的多变量L / sup无穷大/最优化问题简化为正方形T / sub 12 /,T / sub 21 / d,T / sub 11 / in(H / sup infinity /)的有限维凸优化/ sup n * n /和不包含RHP零的T / sub 12 /或T / sub 21 /,即正方形单边情况。该问题的解决方案在多变量反馈控制器的设计中起着关键作用,该控制器优化了超额稳定性裕度或等效的结构化奇异值mu。

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