Results 111 to 120 of about 18,791 (282)

Design and practical implementation of a fractional order proportional integral controller (FOPI) for a poorly damped fractional order process with time delay

, 2019
One of the most popular tuning procedures for the development of fractional order controllers is by imposing frequency domain constraints such as gain crossover frequency, phase margin and iso-damping properties.
Birs, Isabela Roxana, Copot, Dana, Ionescu, Clara-Mihaela, Muresan, Cristina, Nascu, Ioan   +4 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

Research on LLC Resonant Converter Control Strategy Based on Sliding Mode Active Disturbance Rejection Control

IEEE Access
Aiming at the problems of excessive fluctuation and long adjustment time when LLC resonant converter encounters load mutation in traditional control strategy, which seriously affects the normal use, an improved self-disturbance control strategy based on ...
Liwen Ji, Xin Li, Lei Han, Zhen Yang, Caochao Zhang, Yan Li   +5 more
doaj   +1 more source

Conceptual design of pointing control systems for space station gimballed payloads [PDF]

A conceptual design of the control system for Payload Pointing Systems (PPS) is developed using classic Proportional-Integral-Derivatives (PID) techniques.
Hughes, Robert O.
core   +1 more source

Fractional Order Linear Active Disturbance Rejection Control for Linear Flexible Joint System [PDF]

Computers, Materials & Continua, 2022
Ibrahim M. Mehedi, Rachid Mansouri, Ubaid M. Al-Saggaf, Ahmed I. M. Iskanderani, Maamar Bettayeb, Abdulah Jeza Aljohani, Thangam Palaniswamy, Shaikh Abdul Latif, Abdul Latif   +8 more
openaire   +1 more source

Flatness-based linear active disturbance rejection control for tower crane

FME Transactions
Controlling 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 flatness theory to achieve precise trolley positioning and effective swing elimination.
Sev Eunet Rs, Tuan Anh Nguyen, Minh Duc Duong   +2 more
openaire   +2 more sources

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source