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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Afonso, Rubens J. M. ; Galvao, Roberto K. H. ; Kienitz, Karl H.
Total Authors: 3
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL; v. 26, n. 16, p. 3662-3669, NOV 10 2016.
Web of Science Citations: 2
Abstract

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 (c) 2016 John Wiley \& Sons, Ltd. (AU)

FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
Grantee:Roberto Kawakami Harrop Galvão
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 11/18632-8 - Fault-tolerant Predictive Control with trajectory planning in the presence of obstacles
Grantee:Rubens Junqueira Magalhães Afonso
Support Opportunities: Scholarships in Brazil - Doctorate