Model predictive control for a class of hybrid system based on linear programming

被引：0

作者：

Li, XG ^{[1
]}

Gao, DJ ^{[1
]}

Wang, YH ^{[1
]}

Wang, WS ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China

来源：

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年

关键词：

hybrid system; mixed logic dynamic; predictive control; mixed integer linear programming;

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：

Aiming at hybrid properties of industry process, Predictive control based on Mixed Logic Dynamic model is presented to research a class of hybrid systems which is comprised of both logic and continuous controllers. Presents the algorithm for model predictive control based on 1-1 norm linear programming and the system's stability condition is also discussed. Simulation results show that the Lp-based performance criterion has less computational time and cost than that of Qp-baesd, thus the Lp-based strategy is particularity well suitable for solving the control systems with the large size and a very stringent real-time requirement, which provides the complex industry process a new idea for the next generation.

引用

页码：300 / 304

页数：5

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