Min-max coalitional model predictive control algorithm

被引：3

作者：

Maxim, Anca ^{[1
,2
]}

Maestre, Jose M. ^{[3
]}

Caruntu, Constantin F. ^{[1
]}

Lazar, Corneliu ^{[1
]}

机构：

[1] Gheorghe Asachi Tech Univ Iasi, Dept Automat Control & Appl Informat, Blvd D Mangeron 27, Iasi 700050, Romania

[2] Univ Ghent, Dept Elect Energy Met Mech Construct & Syst, Technol Pk 914, B-9052 Ghent, Belgium

[3] Univ Seville, Dept Syst & Automat Engn, Camino Descubrimientos S-N, Seville 41092, Spain

来源：

2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS) | 2019年

关键词：

STABILITY; SYSTEMS; MPC;

D O I：

10.1109/CSCS.2019.00012

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a coalitional model predictive control algorithm with feasibility guarantees for systems with bounded additive uncertainties. This formulation, suitable for sub-systems coupled through the inputs, assumes the coupling variables as disturbances and ensures a robust consensus with minimum information exchange. The simulation results show that the coalitional method has similar behaviour to the fully centralized algorithm and improved performance with respect to the decentralized and the iterative min-max distributed model predictive controllers.

引用

页码：24 / 29

页数：6

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