Results 161 to 170 of about 154,377 (300)

Finite-time robust speed control of synchronous reluctance motor using disturbance rejection sliding mode control with advanced reaching law. [PDF]

PLoS One, 2023
Nasim U, Bhatti AR, Farhan M, Rasool A, Butt AD.   +4 more
europepmc   +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

An Adaptive Control Strategy for DC/DC Converters Using Command-Filtered Backstepping and Disturbance Rejection. [PDF]

Micromachines (Basel)
Phan VD, Duong DT, Le VC, Ho SP.
europepmc   +1 more source

On disturbance rejection control of the epileptiform spikes. [PDF]

Cogn Neurodyn, 2022
Wei W, Zhang Z, Chen N, Zuo M, Yu T.
europepmc   +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

Optimized super-twisting active disturbance rejection control based on nonlinear extended state observer for aircraft attitude stabilization. [PDF]

Sci Rep
Yazdiniya F, Ansarifar G.
europepmc   +1 more source

The Improved Particle Swarm Optimization Method: An Efficient Parameter Tuning Method with the Tuning Parameters of a Dual-Motor Active Disturbance Rejection Controller. [PDF]

Sensors (Basel), 2023
Deng Y, Zhu J, Liu H.
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids. [PDF]

Sci Rep
Ihammouchen S, Chebabhi A, Ziane D, Rekioua T, Benkhoris MF, Belkhier Y, Bajaj M, Rubanenko O.   +7 more
europepmc   +1 more source

Research on Synchronous Control of Active Disturbance Rejection Position of Multiple Hydraulic Cylinders of Digging-Anchor-Support Robot. [PDF]

Sensors (Basel), 2023
Ma T, Guo X, Su G, Deng H, Yang T.
europepmc   +1 more source