卡尔曼滤波器
操作员(生物学)
控制理论(社会学)
移动视界估计
随机控制
集合卡尔曼滤波器
数学
控制(管理)
计算机科学
扩展卡尔曼滤波器
最优控制
数学优化
统计
人工智能
基因
转录因子
抑制因子
生物化学
化学
作者
Mohammad S. Ramadan,Mihai Anitescu
标识
DOI:10.48550/arxiv.2402.18554
摘要
The theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual control is generally computationally prohibitive. In recent years, however, the use of Koopman operator theory for control applications has been emerging. This paper presents a new reformulation of the stochastic optimal control problem that, employing the Koopman operator, yields a standard LQR problem with the dual control as its solution. We provide a numerical example that demonstrates the effectiveness of the proposed approach compared with certainty equivalence control, when applied to systems with varying observability.
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