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Solutions of nonlinear control and estimation problems in reproducing kernel Hilbert spaces: Existence and numerical determination

机译:再生核希尔伯特空间中非线性控制和估计问题的解:存在性和数值确定

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摘要

Many nonlinear optimal control and estimation problems can be formulated as Tikhonov variational problems in an infinite dimensional reproducing kernel Hilbert space. This paper shows that any closed ball contained in such spaces is compact in the sup-norm topology. This result is exploited to obtain conditions which guarantee existence of solutions for the aforementioned problems as well as numerical algorithms whose convergence is guaranteed in the space of continuous functions.
机译:可以将许多非线性最优控制和估计问题表述为无限维再现核Hilbert空间中的Tikhonov变分问题。本文表明,在超规范拓扑中,包含在此类空间中的任何闭合球都是紧凑的。利用该结果来获得保证存在上述问题的解的条件以及在连续函数的空间中保证收敛的数值算法。

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