Model predictive control in aerospace systems: Current state and opportunities

U Eren, A Prach, BB Koçer, SV Raković… - Journal of Guidance …, 2017 - arc.aiaa.org
CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

Advances in trajectory optimization for space vehicle control

D Malyuta, Y Yu, P Elango, B Açıkmeşe - Annual Reviews in Control, 2021 - Elsevier
Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …

A rewriting system for convex optimization problems

A Agrawal, R Verschueren, S Diamond… - Journal of Control and …, 2018 - Taylor & Francis
We describe a modular rewriting system for translating optimization problems written in a
domain-specific language (DSL) to forms compatible with low-level solver interfaces …

JuMP: A modeling language for mathematical optimization

I Dunning, J Huchette, M Lubin - SIAM review, 2017 - SIAM
JuMP is an open-source modeling language that allows users to express a wide range of
optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and …

A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis

V Gandarillas, AJ Joshy, MZ Sperry, AK Ivanov… - Structural and …, 2024 - Springer
The adjoint method provides an efficient way to compute sensitivities for system models with
a large number of inputs. However, implementing the adjoint method requires significant …

SNDlib 1.0—Survivable network design library

S Orlowski, R Wessäly, M Pióro… - Networks: An …, 2010 - Wiley Online Library
This article describes the Survivable Network Design Library (SNDlib), a data library for fixed
telecommunication network design available at http://sndlib. zib. de. In the current version …

Convex models of distribution system reconfiguration

JA Taylor, FS Hover - IEEE Transactions on Power Systems, 2012 - ieeexplore.ieee.org
We derive new mixed-integer quadratic, quadratically constrained, and second-order cone
programming models of distribution system reconfiguration, which are to date the first …

Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers

J Tordsson, RS Montero, R Moreno-Vozmediano… - Future generation …, 2012 - Elsevier
In the past few years, we have witnessed the proliferation of a heterogeneous ecosystem of
cloud providers, each one with a different infrastructure offer and pricing policy. We explore …

Direct multisearch for multiobjective optimization

AL Custódio, JFA Madeira, AIF Vaz, LN Vicente - SIAM Journal on …, 2011 - SIAM
In practical applications of optimization it is common to have several conflicting objective
functions to optimize. Frequently, these functions are subject to noise or can be of black-box …

A comprehensive review of metaheuristic methods for the reconfiguration of electric power distribution systems and comparison with a novel approach based on …

M Mahdavi, HH Alhelou, A Bagheri, SZ Djokic… - IEEE …, 2021 - ieeexplore.ieee.org
The distribution system reconfiguration (DSR) is a complex large-scale optimization
problem, which is usually formulated with one or more objective functions and should satisfy …