DocumentCode
3550944
Title
Mixed-integer programming for control
Author
Richards, Arthur ; How, Jonathan
Author_Institution
Dept. of Aerosp. Eng., Bristol Univ., UK
fYear
2005
fDate
8-10 June 2005
Firstpage
2676
Abstract
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.
Keywords
feedback; integer programming; predictive control; discrete decisions; feedback control; integer constraints; mixed-integer programming; model predictive control; nonconvexity; optimal trajectories; optimization; Aerospace control; Collision avoidance; Feedback control; Laboratories; Path planning; Predictive control; Predictive models; Real time systems; Robust stability; Unmanned aerial vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2005. Proceedings of the 2005
ISSN
0743-1619
Print_ISBN
0-7803-9098-9
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2005.1470372
Filename
1470372
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