Suchergebnisse - sensor‐based control algorithm

Sensors Based Optimized Closed Loop Control Algorithm to Minimize Hypoglycemia/Hyperglycemia using 4-Variate Time Series Data

Autoren: Geetha G. Arun Mozhi Selvi Sundarapandi Hemlathadhevi A. et al.

Quelle: Journal of New Materials for Electrochemical Systems. 27:1-7

Enhancing Upper Limb Exoskeletons Using Sensor-Based Deep Learning Torque Prediction and PID Control

Autoren: Farshad Shakeriaski Masoud Mohammadian

Quelle: Sensors (Basel)
Sensors, Vol 25, Iss 11, p 3528 (2025)

Schlagwörter: deep learning models, Chemical technology, torque estimation and prediction, TP1-1185, proportional–integral–derivative control algorithm, upper limb assistive exoskeleton robot elbow orthosis, Article, stroke rehabilitation

Zugangs-URL: https://doaj.org/article/ca5f4954d7304f9bb66bfeac23ad6f10

Engineering Self-Adaptive Capabilities in Wireless Sensors Based on Control Algorithms and Model-Based Design Methodologies

Autoren: Raúl Mario Del Toro Matamoros Andrei Pruteanu Rodolfo Elias Haber Guerra

Schlagwörter: control_systems_engineering, 7. Clean energy

Dateibeschreibung: application/pdf

Research on power control algorithm of wireless sensor based on Nash bargaining solution

Autoren: Jian Yue Pan Zhu Dongzhe Yu

Quelle: International Conference on Algorithms, Microchips and Network Applications. :34

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Discrete hall sensor based vector control algorithm of permanent magnet synchronous motor

Autoren: A.S. Kulmukhametova D.V. Korobatov

Quelle: 2015 International Siberian Conference on Control and Communications (SIBCON). :1-3

Schlagwörter: 13. Climate action

Zugangs-URL: http://ieeexplore.ieee.org/document/7147104/
https://ieeexplore.ieee.org/document/7147104/
http://ieeexplore.ieee.org/iel7/7133660/7146959/07147104.pdf?arnumber=7147104

Sensor-Based Physiologic Control Strategy for Biventricular Support with Rotary Blood Pumps

Autoren: Steven C. Koenig Mark S. Slaughter Yu Wang et al.

Quelle: ASAIO Journal. 64:338-350

Schlagwörter: Heart Failure, Heart Ventricles, 11. Sustainability, 0206 medical engineering, Hemodynamics, 0202 electrical engineering, electronic engineering, information engineering, Humans, Computer Simulation, Heart-Assist Devices, 02 engineering and technology, Algorithms

Zugangs-URL: https://journals.lww.com/asaiojournal/Fulltext/2018/05000/Sensor_Based_Physiologic_Control_Strategy_for.11.aspx
https://pubmed.ncbi.nlm.nih.gov/28938308
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447034

Real-Time Sensor-Based Feedback Control for Obstacle Avoidance in Unknown Environments

Autoren: Smaili, Lyes Berkane, Soulaimane

Quelle: 2024 American Control Conference (ACC). :2691-2696

Schlagwörter: FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control

Zugangs-URL: http://arxiv.org/abs/2403.08614

Research on flexible control method of robot based on visual servoing.

Autoren: Wu, Xiangchen Yu, Youfang

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p1005-1028, 24p

Schlagwörter: ROBOT control systems, ROBOT kinematics, ROBOTICS, ALGORITHMS, LYAPUNOV functions

Ultrasonic Sensor Based Fuzzy-Neural Control Algorithm of Obstacle Avoidance for Mobile Robot

Autoren: Chaochao Chen Zhen Huang Hongbo Wang

Quelle: Lecture Notes in Computer Science ISBN: 9783540723820

Zugangs-URL: https://dblp.uni-trier.de/db/conf/isnn/isnn2007-1.html#WangCH07
https://link.springer.com/10.1007/978-3-540-72383-7_96
https://link.springer.com/chapter/10.1007/978-3-540-72383-7_96

Extend the Lifetime of Power Components in Series DC Motor Drives Using ANN-Based Adaptive Switching Frequency Optimization

Autoren: Erkan Eren Hakan Kaya Salih Baris Ozturk

Quelle: Sensors ; Volume 25 ; Issue 22 ; Pages: 6996

Schlagwörter: battery-powered locomotive, insulated gate bipolar transistor (IGBT), mining, series DC motor, variable switching frequency, artificial neural network (ANN), embedded systems, machine learning, sensor-based signal processing, adaptive control algorithms, real-time decision making

Dateibeschreibung: application/pdf

Relation: Electronic Sensors; https://dx.doi.org/10.3390/s25226996

Verfügbarkeit: https://doi.org/10.3390/s25226996

Research on constant tension yarn transfer control technology based on AGA-PID and FOC algorithm.

Autoren: Wang, Luojun Peng, Laihu Xiong, Xuyi et al.

Quelle: Textile Research Journal; Apr2025, Vol. 95 Issue 7/8, p850-865, 16p

Schlagwörter: PERMANENT magnet motors, KNITTING machines, TECHNOLOGY transfer, ADAPTIVE control systems, YARN

Unmanned Agricultural Machine Operation System in Farmland Based on Improved Fuzzy Adaptive Priority-Driven Control Algorithm.

Autoren: Che, Yinchao Zheng, Guang Li, Yong et al.

Quelle: Electronics (2079-9292); Oct2024, Vol. 13 Issue 20, p4141, 24p

Schlagwörter: ADAPTIVE fuzzy control, FUZZY algorithms, AGRICULTURAL equipment, TRACKING algorithms, CROP yields, AGRICULTURAL technology

Employing an optimal control strategy for systems with measurement and actuation faults: a swarm optimization approach.

Autoren: K. R., Achu Govind Mahapatra, Subhasish Panda, Atanu

Quelle: Engineering Optimization; Sep2025, Vol. 57 Issue 9, p2560-2596, 37p

Schlagwörter: OPTIMAL control theory, ROBUST control, MEASUREMENT errors, OPTIMIZATION algorithms, ADAPTIVE control systems, SWARM intelligence

Effects of Optimizing Droplet Distribution at Particular Heights and Speeds Using Proportional-Integral-Derivative (PID) Control Algorithm in Unmanned Aerial Vehicle (UAV) Systems: A Review.

Autoren: İnan, Mevlüt Karci, Ali

Quelle: Journal of Agricultural Sciences / Tarim Bilimleri Dergisi; 2025, Vol. 31 Issue 3, p612-639, 28p

Schlagwörter: SUSTAINABLE agriculture, AGRICULTURAL drones, DRONE aircraft, SUSTAINABILITY, PID controllers, SPRAYING & dusting in agriculture

2P1-J3 Sensor Based Control for ITER Blanket Module Replacement : (3nd Report) Experimental Results and Control Algorithm of Edge Detection by Distance Sensor / 2P1-J3 センサ情報に基づくITERブランケットモジュール交換 : 第3報 距離センサの要素試験とエッジ検出法(10. 核融合炉システムにおけるロボット技術)

Autoren: K. Koizumi K. Oka K. Shibanuma et al.

Quelle: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2001, :61

Sensors Based Optimized Closed Loop Control Algorithm to Minimize Hypoglycemia/Hyperglycemia using 4-Variate Time Series Data.

Autoren: G., Geetha Sundarapandi, Arun Mozhi Selvi A., Hemlathadhevi et al.

Quelle: Journal of New Materials for Electrochemical Systems; Jan2024, Vol. 27 Issue 1, p1-7, 7p

Schlagwörter: HYPERGLYCEMIA, INSULIN, HYPOGLYCEMIA, TIME series analysis, BLOOD sugar, CLOSED loop systems, TIME management

Geografische Kategorien: PADUA (Italy)

Fault location measurement of sensor nodes based on fuzzy control algorithm.

Autoren: Yu, Nuo¹ (AUTHOR) yunuopaper@163.com

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Jan2023, Vol. 27 Issue 2, p1189-1199. 11p.

Schlagwörter: *FAULT location (Engineering), *FUZZY algorithms, *MEASUREMENT errors, *DETECTORS, *ENERGY consumption, *NANOBIOTECHNOLOGY

Research and Design of an Intelligent IoT Monitoring System for Coal Mine Gas Based on the Fuzzy-PID Algorithm.

Autoren: Yang, Shengquan Zhang, Jun Zhang, Zhengxin et al.

Quelle: International Journal of Advanced Network, Monitoring & Controls; 2025, Vol. 10 Issue 1, p11-28, 18p

Schlagwörter: FUZZY algorithms, COAL mining safety, MINE safety, INTERNET usage monitoring, COAL mining

RESEARCH ON AUTONOMOUS NAVIGATION AND CONTROL ALGORITHM OF INTELLIGENT ROBOT BASED ON REINFORCEMENT LEARNING.

Autoren: YUNLONG YI YING GUAN

Quelle: Scalable Computing: Practice & Experience; Jan2025, Vol. 26 Issue 1, p423-431, 9p

Schlagwörter: MACHINE learning, REINFORCEMENT learning, COGNITIVE science, ROBOT control systems, INTELLIGENT control systems, MOBILE robots

Sensor-based motion control of autonomous underwater vehicles, part I: Modeling and low-complexity state estimation

Autoren: Karras, G. C. Bechlioulis, C. P. Marantos, P. et al.

Quelle: Autonomous Underwater Vehicles. :15-43

Schlagwörter: Autonomous underwater vehicles, Embedded system, Fast online dynamic parameter identification, Low-complexity state estimation, Marine system control, Mobile robots, Sensor-based motion control, Simulation, modelling and identification, State estimation, Telerobotics, Underwater robotic vehicle, Vehicle model

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304653