An Iterative Convex Programming Method for Rocket Landing Trajectory Optimization

The Journal of the Astronautical Sciences ◽

10.1007/s40295-020-00235-y ◽

2020 ◽

Vol 67 (4) ◽

pp. 1553-1574

Author(s):

Jinbo Wang ◽

Huixu Li ◽

Hongbo Chen

Keyword(s):

Convex Programming ◽

Trajectory Optimization ◽

Programming Method ◽

Landing Trajectory

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A Nonnegatively Constrained Convex Programming Method for Image Reconstruction

SIAM Journal on Scientific Computing ◽

10.1137/s1064827502410451 ◽

2004 ◽

Vol 25 (4) ◽

pp. 1326-1343 ◽

Author(s):

Johnathan M. Bardsley ◽

Curtis R. Vogel

Keyword(s):

Image Reconstruction ◽

Convex Programming ◽

Programming Method

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Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization

2020 European Control Conference (ECC) ◽

10.23919/ecc51009.2020.9143595 ◽

2020 ◽

Author(s):

Thomas Lew ◽

Riccardo Bonalli ◽

Marco Pavone

Keyword(s):

Convex Programming ◽

Trajectory Optimization ◽

Sequential Convex Programming

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A smoothing sequential convex programming method

Applied Mathematical Sciences ◽

10.12988/ams.2021.914344 ◽

2021 ◽

Vol 15 (1) ◽

pp. 33-45

Author(s):

Anouar Lahmdani ◽

Mohamed Tifroute

Keyword(s):

Convex Programming ◽

Programming Method ◽

Sequential Convex Programming

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A convex programming method in Hilbert space and its applications to optimal control of system described by parabolic equations

5th Conference on Optimization Techniques Part I - Lecture Notes in Computer Science ◽

10.1007/3-540-06583-0_12 ◽

1973 ◽

pp. 124-136

Author(s):

Kazimierz Malanowski

Keyword(s):

Optimal Control ◽

Hilbert Space ◽

Convex Programming ◽

Parabolic Equations ◽

Programming Method

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Sequential convex programming method using adaptive mesh refinement for entry trajectory planning problem

Aerospace Science and Technology ◽

10.1016/j.ast.2020.106374 ◽

2021 ◽

Vol 109 ◽

pp. 106374

Author(s):

Xiang Zhou ◽

Rui-Zhi He ◽

Hong-Bo Zhang ◽

Guo-Jian Tang ◽

Wei-Min Bao

Keyword(s):

Convex Programming ◽

Trajectory Planning ◽

Adaptive Mesh Refinement ◽

Mesh Refinement ◽

Adaptive Mesh ◽

Programming Method ◽

Planning Problem ◽

Sequential Convex Programming

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Solar-sail deep space trajectory optimization using successive convex programming

Astrophysics and Space Science ◽

10.1007/s10509-019-3597-x ◽

2019 ◽

Vol 364 (7) ◽

Author(s):

Yu Song ◽

Shengping Gong

Keyword(s):

Convex Programming ◽

Trajectory Optimization ◽

Successive Convex Programming

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Asymptotic Performance of Sparse Signal Detection Using Convex Programming Method

Chinese Journal of Aeronautics ◽

10.1016/s1000-9361(11)60403-2 ◽

2012 ◽

Vol 25 (3) ◽

pp. 396-405

Author(s):

Chuan LEI ◽

Jun ZHANG

Keyword(s):

Signal Detection ◽

Convex Programming ◽

Programming Method ◽

Sparse Signal ◽

Asymptotic Performance ◽

Sparse Signal Detection

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Reentry trajectory optimization for hypersonic vehicles using fuzzy satisfactory goal programming method

International Journal of Automation and Computing ◽

10.1007/s11633-014-0823-4 ◽

2014 ◽

Vol 12 (2) ◽

pp. 171-181 ◽

Author(s):

Chao-Fang Hu ◽

Yue Xin

Keyword(s):

Goal Programming ◽

Trajectory Optimization ◽

Programming Method ◽

Hypersonic Vehicles ◽

Reentry Trajectory ◽

Reentry Trajectory Optimization

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Lunar soft landing trajectory optimization by a Chebyshev pseudospectral method

2011 IEEE International Conference on Computer Science and Automation Engineering ◽

10.1109/csae.2011.5952501 ◽

2011 ◽

Author(s):

Zhang Jianhui ◽

Qi-bo Peng

Keyword(s):

Trajectory Optimization ◽

Pseudospectral Method ◽

Soft Landing ◽

Chebyshev Pseudospectral Method ◽

Chebyshev Pseudospectral ◽

Landing Trajectory

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Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach

Robotics: Science and Systems XV ◽

10.15607/rss.2019.xv.078 ◽

2019 ◽

Author(s):

Riccardo Bonalli ◽

Abhishek Cauligi ◽

Andrew Bylard ◽

Thomas Lew ◽

Marco Pavone

Keyword(s):

Convex Programming ◽

Trajectory Optimization ◽

Programming Approach ◽

Sequential Convex Programming ◽

Optimization On Manifolds

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