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A max-plus affine power method for approximation of a class of mixed L/sub 2/ / L/sub /spl infin// value functions

机译:近似一类混合L / sub 2 / / L / sub / spl infin //值函数的最大加仿射幂方法

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This paper is concerned with the approximation via max-plus methods of value functions arising in a class of mixed L/sub 2/ / L/sub /spl infin// optimization problems. The class of problems is defined to be suitably general so as to admit future application to L/sub 2/-gain analysis, L/sub /spl infin// bounded (LIB) dissipation and to the analysis of systems with the input to state stability (ISS) property. Common to each of these problems is the applicability of dynamic programming, which naturally leads to the formulation of max-plus methods using the resulting semigroups (and sub-semigroups). This paper provides the details of this formulation. In particular, we develop an affine power method that yields the correct solution of the dynamic programming principle (DPP) and hence the underlying optimization problem, despite the inherent non-uniqueness of solutions of such DPPs.
机译:本文涉及在一类混合L / sub 2 // L / sub / spl infin //最优化问题中通过值函数的最大加法逼近。问题的类别被定义为适当的一般性,以便将来可以应用于L / sub 2 /增益分析,L / sub / spl infin //有界(LIB)耗散以及具有状态输入的系统分析稳定性(ISS)属性。这些问题的共同点是动态编程的适用性,自然会导致使用所得的半群(和子半群)制定最大加法。本文提供了此公式的详细信息。尤其是,我们开发了一种仿射幂方法,尽管这种DPP解决方案具有内在的非唯一性,但它可以为动态规划原理(DPP)提供正确的解决方案,从而可以解决潜在的优化问题。

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