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Second Order Sufficient Conditions for Optimal Control Problems with Non-unique Minimizers: An Abstract Framework

机译:非唯一极小最优控制问题的二阶充分条件:一个抽象框架

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摘要

Standard second order sufficient conditions in optimal control theory provide not only the information that an extremum is a weak local minimizer, but also tell us that the extremum is locally unique. It follows that such conditions will never cover problems in which the extremum is continuously embedded in a family of constant cost extrema. Such problems arise in periodic control, when the cost is invariant under time translations, in shape optimization, where the cost is invariant under Euclidean transformations (translations and rotations of the extremal shape), and other areas where the domain of the optimization problem does not really comprise elements in a linear space, but rather an equivalence class of such elements.We supply a set of sufficient conditions for minimizers that are not locally unique, tailored to problems of this nature. The sufficient conditions are in the spirit of earlier conditions for 'non-isolated' minima, in the context of general infinite dimensional nonlinear programming problems provided by Bonnans, Ioffe and Shapiro, and require coercivity of the second variation in directions orthogonal to the constant cost set. The emphasis in this paper is on the derivation of directly verifiable sufficient conditions for a narrower class of infinite dimensional optimization problems of special interest. The role of the conditions in providing easy-to-use tests of local optimality of a non-isolated minimum, obtained by numerical methods, is illustrated by an example in optimal control.
机译:最优控制理论中的标准二阶充分条件不仅提供了极值是弱局部极小值的信息,而且还告诉我们该极值是局部唯一的。因此,这些条件将永远不会涵盖将极值连续嵌入到恒定成本极值族中的问题。此类问题出现在周期性控制中,当成本在时间平移下不变时,在形状优化中,成本在欧几里德变换(极值形状的平移和旋转)下不变,以及其他不存在优化问题的领域实际上包含线性空间中的元素,而是此类元素的等价类。我们为局部存在的局部问题提供了一组条件,这些条件不是局部唯一的。在Bonnans,Ioffe和Shapiro提供的一般无限维非线性编程问题的背景下,足够的条件符合“非孤立”极小值的较早条件的精神,并且要求在与恒定成本正交的方向上进行第二个变化的矫顽性组。本文的重点是对具有特殊意义的较窄类别的无限维优化问题的直接可验证的充分条件的推导。最优控制中的一个例子说明了条件在提供易于使用的非隔离最小值的局部最优性测试中的作用,该非最优最小值通过数值方法获得。

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