Results 51 to 60 of about 2,075,681 (286)
A Multiple Shooting Descent-Based Filter Method for Optimal Control Problems
A direct multiple shooting (MS) method is implemented to solve optimal control problems (OCP) in the Mayer form. The use of an MS method gives rise to the so-called ‘continuity conditions’ that must be satisfied together with general algebraic equality and inequality constraints.
Ramadas, Gisela C. V. +3 more
openaire +1 more source
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
While the first-order derivatives of an objective function and constraints have often been analytically provided in the gradient-based optimization algorithms, the joint use of the second-order derivatives can further improve the computational efficiency
Kenta Oshima
doaj +1 more source
In this paper, we consider the effect of stochastic uncertainties on non-linear systems with chaotic behavior. More specifically, we quantify the effect of parametric uncertainties to time-averaged quantities and their sensitivities. Sampling methods for
Kyriakos Dimitrios Kantarakias +1 more
doaj +1 more source
A preconditioned Multiple Shooting Shadowing algorithm for the sensitivity analysis of chaotic systems [PDF]
We propose a preconditioner that can accelerate the rate of convergence of the Multiple Shooting Shadowing (MSS) method [1] . This recently proposed method can be used to compute derivatives of time-averaged objectives (also known as sensitivities) to ...
K. Shawki, G. Papadakis
semanticscholar +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
An α-Model Parametrization Algorithm for Optimization with Differential-Algebraic Equations
An optimization task with nonlinear differential-algebraic equations (DAEs) was approached. In special cases in heat and mass transfer engineering, a classical direct shooting approach cannot provide a solution of the DAE system, even in a relatively ...
Paweł Drąg
doaj +1 more source
This paper proposes a novel approach to the solution of optimal control problems under uncertainty (OCPUUs). OCPUUs are first cast in a general formulation that allows the treatment of uncertainties of different nature, and then solved with a new direct ...
C. Greco +3 more
semanticscholar +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Acumulation of data in a synthetic aperture radar mounted on a UAV
Background. Currently, there is an intensive development of synthetic aperture radar systems, including those deployed on UAVs. The deployment of remote control systems on board aircraft UAVs opens up wide opportunities for inexpensive and effective ...
Aleksey V. Borisenkov +2 more
doaj +1 more source

