Results 51 to 60 of about 906 (226)

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Koopman-Based Control System for Quadrotors in Noisy Environments

IEEE Access
It is well known that identification of the complete system dynamics is challenging, especially in noisy environments. The Koopman operator theory provides a linear representation of a nonlinear system using only the input/output data acquired from the ...
Yuna Oh, Myoung Hoon Lee, Jun Moon
doaj   +1 more source

Neural Koopman forecasting for critical transitions in infrastructure networks

Intelligent Systems with Applications
We develop a data-driven framework for long-term forecasting of stochastic dynamics on evolving networked infrastructure systems using neural approximations of Koopman operators.
Ramen Ghosh
doaj   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Introduction to the Koopman operator in Systems and Control [PDF]

, 2018
The Koopman operator is a linear, infinite-dimensional operator defined for a nonlinear dynamical system. Through this linear operator, we can exploit established linear techniques (e.g.
Mauroy, Alexandre; id_orcid, Susuki, Yoshihiko   +1 more
core  

Data-Driven Nonlinear Stabilization Using Koopman Operator [PDF]

, 2019
We propose the application of Koopman operator theory for the design of stabilizing feedback controller for a nonlinear control system. The proposed approach is data-driven and relies on the use of time-series data generated from the control dynamical ...
Umesh Vaidya, Ma, Xu, Huang, Bowen, Vaidya, Umesh, Bowen Huang, Xu Ma   +5 more
core   +2 more sources

Cooperative braking of urban rail vehicles with Koopman model predictive control

IET Control Theory & Applications, 2023
Braking control of urban rail vehicles with multiple carriages is critical to ensure the safe operation of urban rails. However, existing decentralized braking control methods lead to the inconsistent speed and excessive coupler force among carriages ...
Dianzhu Gao, Jun Peng, Hui Peng, Bin Chen, Zhiwu Huang   +4 more
doaj   +1 more source

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

Stability Analysis of Parameter Varying Genetic Toggle Switches Using Koopman Operators

Mathematics, 2021
The genetic toggle switch is a well known model in synthetic biology that represents the dynamic interactions between two genes that repress each other.
Jamiree Harrison, Enoch Yeung
doaj   +1 more source

Microwave‐Assisted Alcoholysis of Ethylene–Vinyl Acetate: Phenomenological and Thermal Evolution of EVAOH Terpolymers

Journal of Applied Polymer Science, EarlyView.
Microwave‐assisted alcoholysis converts EVA into EVAOH terpolymers, promoting a progressive transition from EVA‐like crystallites to VOH‐rich hydrogen‐bonded crystalline domains. Solvent‐controlled swelling influences conversion kinetics, while thermal analysis reveals a sigmoidal increase in melting temperature that a two‐population crystallization ...
Fernanda Trindade Gonzalez Dias, Aline Benittes dos Santos, Lucas Dall Agnol, Otávio Bianchi   +3 more
wiley   +1 more source