Delayed Multivariable Extremum Seeking with Sequential Predictors

被引：0

作者：

Malisoff, Michael ^{[1
]}

Krstic, Miroslav ^{[2
]}

机构：

[1] Louisiana State Univ, Dept Math, Baton Rouge, LA 70803 USA

[2] Univ Calif San Diego, Dept Mech & Aerosp Engn, La Jolla, CA 92093 USA

来源：

2020 AMERICAN CONTROL CONFERENCE (ACC) | 2020年

基金：

美国国家科学基金会;

关键词：

Extremum seeking; delays; averaging; LINEAR-SYSTEMS; STABILITY; INPUT; STATE;

D O I：

10.23919/acc45564.2020.9147538

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We provide a method for gradient-based multi-variable extremum seeking that allows different delays in each input channel. We allow output delays, and for the delays to be arbitrarily long. We use averaging and a perturbation based estimate, but our sequential predictor based approach provides a useful alternative to the distributed terms that were used in earlier delay compensation approaches to extremum seeking. We illustrate our approach in a source seeking example.

引用

页码：2649 / 2653

页数：5

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