Reduction in the number of binary variables for inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

Reduction in the number of binary variables for inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

Summary This note proposes the use of a tuple encoding scheme to reduce the number of binary variables involved in trajectory optimization problems with inter‐sample avoidance constraints. Copyright © 2016 John Wiley & Sons, Ltd.

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of robust and nonlinear control 2016-11, Vol.26 (16), p.3662-3669
Hauptverfasser: Afonso, Rubens J. M., Galvão, Roberto K. H., Kienitz, Karl H.
Format: Artikel
Sprache:eng
Schlagworte:
Avoidance
binary variables
Encoding
inter-sample avoidance
Linear programming
mixed-integer linear programming
Nonlinearity
Reduction
Robust control
Trajectories
Trajectory optimization
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Summary This note proposes the use of a tuple encoding scheme to reduce the number of binary variables involved in trajectory optimization problems with inter‐sample avoidance constraints. Copyright © 2016 John Wiley & Sons, Ltd.
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.3529