Achieving optimality in adaptive control: the "bet on the best" approach

Achieving optimality in adaptive control: the "bet on the best" approach
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实现自适应控制的最优性:“押注最佳”方法

DOI:
10.1109/cdc.1997.649725
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发表时间:
1997
期刊:
Proceedings of the 36th IEEE Conference on Decision and Control
影响因子:
--
通讯作者:
M. Campi
M. Campi
中科院分区:
--
文献类型:
--
作者:
M. Campi

文献摘要

被引文献

相似文献

在过去的二十年中,确定性等效原理一直是自适应控制律设计的基本范式。然而,众所周知,对于一般控制标准,通过其使用实现的性能严格来说是次优的。在本文中,我们引入了一种基于确定性等价思想的新的一般哲学——从而确保一般条件下自适应控制问题的最优性。我们不关注特定的控制方案,而是在一般控制设置中介绍该方法。从这个通用方法中可以衍生出应对不同情况的具体控制算法。
Over the last two decades, the certainty equivalence principle has been the fundamental paradigm in the design of adaptive control laws. It is well known, however, that for general control criterions the performance achieved through its use is strictly suboptimal. In this paper, we introduce a new general philosophy based on the certainty equivalence idea-so as to ensure optimality in adaptive control problems under general conditions. Rather than focusing on a particular control scheme, we present the method in a general control setting. Specific control algorithms to cope with different situations can be derived from this general method.