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An efficient outer approximations algorithm for solving infinite sets of inequalities

机译:一种用于求解无限不等式的高效外近似算法

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Many control design constraints may be formulated as semi-infinite constraints. Examples include hard constraints on time and frequency responses and robustness constraints. A useful algorithm for solving such inequalities is the outer approximations algorithm. The standard outer approximations algorithm for solving an infinite set of inequalities phi (x,y)or=0 for all y in Y proceeds by solving at iteration i of the master algorithm, a finite set of inequalities ( phi (x,y)or=0 for all y in Y/sub i/ contained in/implied by Y) to yield x/sub i/ and then updating Y/sub i/ to Y/sub i+1/=Y/sub i/ union (y/sub i/) where y/sub i/ in arg max ( phi (x/sub i/,y) mod y in Y). Since global optimization is computationally extremely expensive, it is desirable to reduce the number of such optimizations. A modified version of the outer approximations algorithm which achieves this objective is presented.
机译:许多控制设计约束可以被配制为半无限约束。示例包括对时间和频率响应和鲁棒性约束的硬约束。一种解决这些不等式的有用算法是外近似算法。通过在Master算法的迭代I求解A的迭代I,求解IN求解无限的不等式的标准外近似算法PHI(x,y)>或= 0,通过算法,是一组有限的不平等(PHI(x,y) >或= 0对于y / zhied / in /暗示/ in / zh y y)的所有y)以产生x / sub i /然后更新y / sub i / to y / sub i + 1 / = y / sub I / Union (y / sub i /)其中y / sub i /在arg max(phi(x / sub i /,y)mod y)中)。由于全局优化是计算地非常昂贵的,因此期望减少这种优化的数量。提出了实现此目的的外近似算法的修改版本。

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