Results 111 to 120 of about 1,862 (295)
IEEE AccessAiming 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 +5 more
doaj +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
Predictive active disturbance rejection control for insulin infusion in patients with T1DM [PDF]
, 2020 This paper presents an active disturbance rejection control scheme to automatically regulate the glucose level in type 1 diabetic patients. Although the blood glucose system is nonlinear, in this control approach, it is represented as a linear perturbed ...
Moreno, J.C. +3 more
core
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 +2 more
wiley +1 more source
A Fractional-Order Model-Assisted Reduced-Order ADRC for Photoelectric Stabilized Platforms
IEEE AccessTo enhance the dynamic performance and disturbance rejection capability of photoelectric stabilized platforms, this study proposes a Fractional-Order Model-assisted Reduced-order Linear Active Disturbance Rejection Control (FO-MRLADRC) algorithm.
Guoyu Lin +3 more
doaj +1 more source
Discussion on the Active Disturbance Rejection Control (ADRC) Method. [PDF]
, 2015 This paper introduces a new control method namely ADRC (Active Disturbance Rejection Control), especially the linear ADRC controller applied to the object in the form of first order inertia.
Tuynh*, P. V. (Phạm)
core
LCL Grid-Connected Inverters Control Strategy Based on Improved Fuzzy Linear Active Disturbance Rejection Control [PDF]
ObjectivesIn complex grid environments, traditional control methods for LCL grid-connected inverter systems suffer from poor grid current quality, inadequate dynamic performance, and inherent resonance peaks.
YANG Peng +7 more
core +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 +8 more
wiley +1 more source
Research on Speed Control of Switched Reluctance Motors Based on Improved Super-Twisting Sliding Mode and Linear Active Disturbance Rejection Control [PDF]
An improved super-twisting sliding mode and linear active disturbance rejection control strategy is proposed to improve the dynamic response performance and immunity performance in switched reluctance motor speed control systems.
Jingyuan Zhang +3 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source