Mixed-integer programming for control

The article describes how mixed-integer programming (MIP) can be employed for feedback control. MIP can be used to find optimal trajectories subject to integer constraints, which can encode discrete decisions or nonconvexity, for example. This optimization can be performed online within model predic...

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Bibliographic Details
Published in2005 American Control Conference pp. 2676 - 2683 vol. 4
Main Authors Richards, A., How, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Aerospace control
Collision avoidance
Feedback control
Laboratories
Path planning
Predictive control
Predictive models
Real time systems
Robust stability
Unmanned aerial vehicles
Online AccessGet full text
ISBN0780390989
9780780390980
9780780390997
0780390997
ISSN0743-1619
DOI10.1109/ACC.2005.1470372

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Summary:The article describes how mixed-integer programming (MIP) can be employed for feedback control. MIP can be used to find optimal trajectories subject to integer constraints, which can encode discrete decisions or nonconvexity, for example. This optimization can be performed online within model predictive control (MPC) to implement a feedback control law. The article discusses how to model systems using MIP, the implementation as a MPC, and techniques for fast solutions of the optimizations to make them suitable for real-time use.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0780390989
9780780390980
9780780390997
0780390997
ISSN:0743-1619
DOI:10.1109/ACC.2005.1470372