Results 11 to 20 of about 6,410,351 (366)

Data-based polyhedron model for optimization of engineering structures involving uncertainties

open access: yesData-Centric Engineering, 2021
This paper studies the data-based polyhedron model and its application in uncertain linear optimization of engineering structures, especially in the absence of information either on probabilistic properties or about membership functions in the fussy sets-
Zhiping Qiu   +3 more
doaj   +1 more source

Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems

open access: yesFuzzy Information and Engineering, 2022
We first investigate the solvability conditions of fuzzy LR interval algebraic linear systems with fuzzy LR interval coefficient matrix and fuzzy LR interval hand-right vector.
Mehrnoosh Salari   +2 more
doaj   +1 more source

Optimal Power Flow Solution for Bipolar DC Networks Using a Recursive Quadratic Approximation

open access: yesEnergies, 2023
The problem regarding of optimal power flow in bipolar DC networks is addressed in this paper from the recursive programming stand of view. A hyperbolic relationship between constant power terminals and voltage profiles is used to resolve the optimal ...
Oscar Danilo Montoya   +2 more
doaj   +1 more source

PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming [PDF]

open access: yesarXiv.org, 2011
Suppose we wish to recover a signal \input amssym $\font\abc=cmmib10\def\bi#1{\hbox{\abc#1}} {\bi x} \in {\Bbb C}^n$ from m intensity measurements of the form $\font\abc=cmmib10\def\bi#1{\hbox{\abc#1}} |\langle \bi x,\bi z_i \rangle|^2$, $i = 1, 2 ...
E. Candès, T. Strohmer, V. Voroninski
semanticscholar   +1 more source

A prediction-correction inexact alternating direction method for convex nonlinear second-order cone programming with linear constraints

open access: yesJournal of Inequalities and Applications, 2020
The convex nonlinear second-order cone programming with linear constraints is equivalent to a separate structure convex programming. A prediction-correction inexact alternating direction method is proposed for the separate structure convex programming ...
Yaling Zhang, Hongwei Liu
doaj   +1 more source

Pseudospectral Convex Programming for Free-Floating Space Manipulator Path Planning

open access: yesSpace: Science & Technology, 2023
To efficiently plan the point-to-point path for a 7-degrees-of-freedom (7-DOF) free-floating space manipulator system, a path planning method based on Legendre pseudospectral convex programming (LPCP) is proposed.
Danyi Li   +7 more
doaj   +1 more source

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization

open access: yesEuropean Control Conference, 2020
Planning safe trajectories for nonlinear dynamical systems subject to model uncertainty and disturbances is challenging. In this work, we present a novel approach to tackle chance-constrained trajectory planning problems with nonconvex constraints ...
T. Lew, Riccardo Bonalli, M. Pavone
semanticscholar   +1 more source

Convex Optimization for Rendezvous and Proximity Operation via Birkhoff Pseudospectral Method

open access: yesAerospace, 2022
Rapid and accurate rendezvous and proximity operations for spacecraft are crucial to the success of most space missions. In this paper, a sequential convex programming method, combined with the first-order and second-order Birkhoff pseudospectral methods,
Zhiwei Zhang   +4 more
doaj   +1 more source

Optimal Guidance and Control with Nonlinear Dynamics Using Sequential Convex Programming

open access: yesJournal of Guidance Control and Dynamics, 2020
This paper presents a novel method for expanding the use of sequential convex programming (SCP) to the domain of optimal guidance and control problems with nonlinear dynamics constraints.
R. Foust, Soon-Jo Chung, F. Hadaegh
semanticscholar   +1 more source

Hessian Riemannian Gradient Flows in Convex Programming [PDF]

open access: yesSIAM Journal of Control and Optimization, 2018
In view of solving theoretically constrained minimization problems, we investigate the properties of the gradient flows with respect to Hessian Riemannian metrics induced by Legendre functions. The first result characterizes Hessian Riemannian structures
F. Alvarez, J. Bolte, O. Brahic
semanticscholar   +1 more source

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