Cesàro值迭代

IF 2 Q2 AUTOMATION & CONTROL SYSTEMS
Jonas Mair;Lukas Schwenkel;Matthias A. Müller;Frank Allgöwer
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引用次数: 0

摘要

在这篇文章中,我们考虑具有不可数状态和输入空间的确定性系统的未折现无限视界最优控制。我们专门处理经典值迭代不收敛的情况。对于这类系统,我们使用Cesàro均值来定义无限地平线最优控制问题和相应的无限地平线值函数。此外,对于该值函数,我们引入了Cesàro值迭代,并证明了它在具有周期最优运行行为的系统的特殊情况下的收敛性。对于这个例子,我们也证明了Cesàro值函数恢复未折现的无限界最优成本,如果后者是定义良好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Cesàro Value Iteration
In this letter, we consider undiscouted infinite-horizon optimal control for deterministic systems with an uncountable state and input space. We specifically address the case when the classic value iteration does not converge. For such systems, we use the Cesàro mean to define the infinite-horizon optimal control problem and the corresponding infinite-horizon value function. Moreover, for this value function, we introduce the Cesàro value iteration and prove its convergence for the special case of systems with periodic optimal operating behavior. For this instance, we also show that the Cesàro value function recovers the undiscounted infinite-horizon optimal cost, if the latter is well-defined.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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