Results 101 to 110 of about 11,273 (304)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Linear Active Disturbance Rejection Control
Abstract As the core of all other ADRC variants covered in this book, the linear continuous-time state-space form of active disturbance rejection control is introduced in this chapter. Generalizing the first- and second-order cases considered in Chap.
Gernot Herbst, Rafal Madonski
openaire +1 more source
A singular adaptive attitude control with active disturbance rejection
European Journal of Control, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bai, Yuliang +3 more
openaire +2 more sources
Active disturbance rejection control of robot manipulator
, 2021 U ovome radu razmatra se upravljanje robotskim manipulatorom s dva rotacijska stupnja slobode gibanja u horizontalnoj ravnini primjenom aktivne kompenzacije poremećaja zasnovane na proširenom observeru stanja.
Fiolić, Borna
core
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Flatness-based linear active disturbance rejection control for tower crane [PDF]
FME TransactionsControlling tower cranes presents substantial challenges due to their complexity, nonlinearity, and under-actuated dynamics. This paper introduces a control strategy integrating Linear Active Disturbance Rejection Control (LADRC) with differential ...
Sev Eunet Rs +2 more
doaj +1 more source
Active Disturbance Rejection Control of Temperature for Ultrastable Optical Cavities
, 2013 This paper describes the application of a novel active disturbance rejection control (ADRC) to the stabilization of the temperature of two ultra-stable Fabry-Pérot cavities. The cavities are 10 cm long and entirely made of ultra-low-expansion glass.
Davide Calonico +14 more
core +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Optimal active disturbance rejection control with applications in electric vehicles
This work proposes an optimal control strategy based on a modified active disturbance rejection control (ADRC) that considers disturbance weighting for a three-phase induction motor under rotor field-oriented control (FOC) to enhance energy efficiency ...
Cortés-Romero, John; Universidad Nacional de Colombia +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source