Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method

Author

Zhang, Longge

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-04-27

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

Two automatic robust model predictive control strategies are presented for uncertain polytopic linear plants with input and output constraints.

A sequence of nested geometric proportion asymptotically stable ellipsoids and controllers is constructed offline first.

Then the feedback controllers are automatically selected with the receding horizon online in the first strategy.

Finally, a modified automatic offline robust MPC approach is constructed to improve the closed system's performance.

The new proposed strategies not only reduce the conservatism but also decrease the online computation.

Numerical examples are given to illustrate their effectiveness.

American Psychological Association (APA)

Zhang, Longge. 2013. Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-467458

Modern Language Association (MLA)

Zhang, Longge. Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method. Abstract and Applied Analysis No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-467458

American Medical Association (AMA)

Zhang, Longge. Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-467458

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-467458