Results 91 to 100 of about 12,217,658 (292)
, 1990 In the last two decades, the development of specific methodologies for the control of systems described by nonlinear mathematical models has attracted an ever increasing interest.
Isidori, Alberto +2 more
core
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Convergence of Pseudospectral Discretization of Optimal Control Problems [PDF]
, 2001 The article of record as published may be located at http://ieeexplore.ieee.orgProceedings of the 40th IEEE Conference on Decision and Control ; Orlando, Florida USA, December 2001A generic nonlinear optimal control problem with a Bolza cost functional ...
Fahroo, Fariba, Ross, Michael I.
core +2 more sources
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Nonlinear optimal control strategies for a mathematical model of COVID-19 and influenza co-infection. [PDF]
Physica A, 2022 Ojo MM, Benson TO, Peter OJ, Goufo EFD.
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
A set oriented approach to global optimal control [PDF]
, 2002 We describe an algorithm for computing the value function for 'all source, single destination' discrete-time nonlinear optimal control problems together with approximations of associated globally optimal control strategies.
Oliver Junge +3 more
core +1 more source
Optimal Control of Endemic Epidemic Diseases With Behavioral Response
IEEE Open Journal of Control SystemsBehavioral factors play a crucial role in the emergence, spread, and containment of human diseases, significantly influencing the effectiveness of intervention measures.
Francesco Parino +2 more
doaj +1 more source
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach. [PDF]
Annu Rev Control, 2021 Hayhoe M, Barreras F, Preciado VM.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source