Model Reference Adaptive Control of Advertising Systems

被引：0

作者：

Guo, Jiaxing ^{[1
]}

Karlsson, Niklas ^{[1
]}

机构：

[1] AOL Platforms, R&D, 395 Page Mill Rd, Palo Alto, CA 94306 USA

来源：

2017 AMERICAN CONTROL CONFERENCE (ACC) | 2017年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Internet advertising is a relatively new area where feedback control has become critically important for scalable optimization. But using feedback control in this space is challenging due to nonlinear, time-varying, and uncertain plants. In this paper we propose a high-fidelity model reference adaptive controller for reference tracking of budget-constrained advertisement campaigns.

引用

页码：5482 / 5487

页数：6

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