Results 101 to 110 of about 4,739 (293)

Simulation of a Quadrotor under Linear Active Disturbance Rejection

, 2022
The quadrotor aircraft has the characteristics of simple structure, high attitude maintenance performance and strong maneuverability, and is widely used in air surveillance, post−disaster search and rescue, target tracking and military industry.
Jingze Xue, Miao Zhang, Zheng Qiao, Keyu Zhuang, Tong Zhao, Yunlong Gao, Shuai Cui   +6 more
core   +1 more source

Research on Backstepping Linear Active Disturbance Rejection Control of Hypersonic Vehicle

Applied Sciences
In this paper, the velocity and altitude control problem of hypersonic vehicles is studied. Aiming at the nonlinear parameter uncertainties, external disturbances and coupling of the hypersonic vehicle system, a control method combining backstepping ...
Chengwei Bao, Guixin Zhu, Tong Zhao
doaj   +1 more source

A triple-step controller with linear active disturbance rejection control for a lower limb rehabilitation robot. [PDF]

Front Neurorobot, 2022
Peng H, Zhou J, Song R.
europepmc   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +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, Filippo Levi, COSTANZO, Giovanni Antonio, Alberto Mura, G. A. Costanzo, C. Calosso, A. Mura, Pizzocaro, Marco, Claudio Calosso, Calonico, Davide, Giovanni, A., Mura, Alberto, Clivati, Cecilia, Levi, Filippo, Calosso, Claudio   +14 more
core   +1 more source

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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Design of active disturbance rejection controller for compass-like biped walking

International Journal of Advanced Robotic Systems, 2018
This article proposes an active disturbance rejection controller design scheme to stabilize the unstable limit cycle of a compass-like biped robot. The idea of transverse coordinate transformation is applied to form the control system based on angular ...
Sumian Song, Chong Tang, Zidong Wang, Yinan Wang, Gangfeng Yan   +4 more
doaj   +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

Fractional Active Disturbance Rejection Control

, 2016
A fractional active disturbance rejection control (FADRC) scheme is proposed to improve the performance of commensurate linear fractional order systems (FOS) and the robust analysis shows that the controller is also applicable to incommensurate linear ...
Gao, Zhiqiang, Li, Dazi, Ding, Pan
core   +1 more source