Results 41 to 50 of about 21,264 (254)
On stability of model predictive control with finite-control-set constraints and disturbances
The paper addresses the challenges of finite-control-set model predictive control in discrete-time linear systems subject to disturbances, focusing on recursive feasibility and stability. The authors propose a novel framework that ensures robust performance under external perturbations while maintaining computational efficiency.
Yimeng Li +4 more
openaire +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Model Predictive Voltage Control of Uninterruptible Power Supply Based on Extended-State Observer
Finite-set model predictive controls have been widely used in inverter control because of the flexible target control and no need of a modulation unit.
Guofeng He +4 more
doaj +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Advances in power electronics and digital control open a new horizon in the control of power converters. Particularly, model predictive control has been developed for control applications in industrial electronics and power systems. This study presents a
Mahlagha Mahdavi Aghdam +2 more
doaj +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Finite control set model predictive control is an advanced control strategy for power converters. However, when applied to the control of grid-connected converters, it still faces several practical problems such as high current distortion, variable ...
Yonglei Zhang +5 more
doaj +1 more source
Analysis and robustness improvement of FCS-MPCC for IPMSM with model parameter mismatches are studied in this paper. The prediction error of the current in synchronous rotation coordinate is analyzed and it is divided into two categories according to ...
Chao Li +6 more
doaj +1 more source

