Distributed Model Predictive Control of Nonlinear Systems Subject to Delayed Measurements

被引：3

作者：

Liu, Jinfeng ^{[1
]}

Munoz de la Pena, David ^{[1
]}

Christofides, Panagiotis D. ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA 90095 USA

来源：

PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年

关键词：

RECEDING HORIZON CONTROL; COMMUNICATION; STABILITY; THEOREM; MPC;

D O I：

10.1109/CDC.2009.5400774

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 work, we focus on distributed model predictive control of nonlinear systems subject to delayed measurements. Delayed measurements arise naturally in process control applications when, for example, species concentrations or particle size distributions are measured. We design distributed Lyapunov-based model predictive controllers that coordinate their actions and take delayed measurements explicitly into account. Sufficient conditions under which the proposed distributed control design guarantees that the state of the closed-loop system is ultimately bounded in a region that contains the origin are provided. The applicability and effectiveness of the proposed control method is illustrated through a chemical process example.

引用

页码：7105 / 7112

页数：8

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