Distributed Model Predictive Control with Suboptimality and Stability Guarantees

被引：65

作者：

Giselsson, Pontus ^{[1
]}

Rantzer, Anders ^{[1
]}

机构：

[1] Lund Univ, Dept Automat Control LTH, SE-22100 Lund, Sweden

来源：

49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年

关键词：

D O I：

10.1109/CDC.2010.5717026

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Theory for Distributed Model Predictive Control (DMPC) is developed based on dual decomposition of the convex optimization problem that is solved in each time sample. The process to be controlled is an interconnection of several subsystems, where each subsystem corresponds to a node in a graph. We present a stopping criterion for the DMPC scheme that can be locally verified by each node and that guarantees closed loop suboptimality above a pre-specified level and asymptotic stability of the interconnected system.

引用

页码：7272 / 7277

页数：6

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