Details
Original language | English |
---|---|
Pages (from-to) | 59-62 |
Number of pages | 4 |
Journal | ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik |
Volume | 76 |
Issue number | SUPPL. 3 |
Publication status | Published - 1996 |
Externally published | Yes |
Abstract
Trajectory optimization is an important means to improve performance in many industrial and scientific processes such as robotics or aerospace applications. A combination of SQP methods with direct collocation or multiple shooting discretizations has proven very successful for such problems. In realistic applications, however, very large QP sub-problems with thousands of constraints may arise. The paper presents an approach based on highly efficient solution of the block-sparse QP by a structured interior point method.
ASJC Scopus subject areas
- Engineering(all)
- Computational Mechanics
- Mathematics(all)
- Applied Mathematics
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In: ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik, Vol. 76, No. SUPPL. 3, 1996, p. 59-62.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Structured interior point SQP methods in optimal control
AU - Steinbach, M. C.
PY - 1996
Y1 - 1996
N2 - Trajectory optimization is an important means to improve performance in many industrial and scientific processes such as robotics or aerospace applications. A combination of SQP methods with direct collocation or multiple shooting discretizations has proven very successful for such problems. In realistic applications, however, very large QP sub-problems with thousands of constraints may arise. The paper presents an approach based on highly efficient solution of the block-sparse QP by a structured interior point method.
AB - Trajectory optimization is an important means to improve performance in many industrial and scientific processes such as robotics or aerospace applications. A combination of SQP methods with direct collocation or multiple shooting discretizations has proven very successful for such problems. In realistic applications, however, very large QP sub-problems with thousands of constraints may arise. The paper presents an approach based on highly efficient solution of the block-sparse QP by a structured interior point method.
UR - http://www.scopus.com/inward/record.url?scp=21444445964&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:21444445964
VL - 76
SP - 59
EP - 62
JO - ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik
JF - ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik
SN - 0044-2267
IS - SUPPL. 3
ER -