Sampled-Data Output-Feedback Model Predictive Control of Nonlinear Plants Using Online Linear System Identification

被引：0
|
作者：
Nguyen, Tam W. [1 ]
Kolmanovsky, Ilya, V [2 ]
Bernstein, Dennis S. [2 ]
机构：
[1] Univ Toyama, Dept Elect & Elect Engn, Toyama 9308555, Japan
[2] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
来源：
2021 AMERICAN CONTROL CONFERENCE (ACC) | 2021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：
In this paper, sampled-data output-feedback model predictive control (MPC) with online identification is used to control nonlinear continuous-time plants. Using a linear model structure for system identification, the paper provides a numerical investigation of the domain of attraction of MPC. Three examples are considered within the context of sampled-data control, namely, the second-order Duffing oscillator with a single measurement, the fourth-order ball-and-beam system with two measurements, and the sixth-order circular restricted three-body problem with three position measurements.
引用
收藏
页码：4692 / 4697
页数：6
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