Results 131 to 140 of about 492,550 (353)
System identification and pid control of toothbrush simulator system [PDF]
, 2019 Toothbrush simulator was invented for industry and dentist researchers to do research related to plaque removal. The toothbrush simulator system repeatedly has a problem in achieving the desired speed control.
Mohd Yusoff, Ainul Husna
core
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Advanced Intelligent Systems, EarlyView.Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes)
, 2023 Hairil Budiarto +3 more
openalex +2 more sources
, 2012 The Horizontal Test Stand (HTS) SRF Cavity and Cryomodule 1 (CM1) of eight 9-cell, 1.3GHz SRF cavities are operating at Fermilab. For the cryogenic control system, how to hold liquid level constant in the cryostat by regulation of its Joule-Thompson JT ...
/Fermilab +8 more
core +1 more source
Optimization of DC - DC boost converter using fuzzy logic controller [PDF]
, 2013 DC-DC converters are electronic devices used to change DC electrical power efficiently from one voltage level to another. Operation of the switching devices causes the inherently nonlinear characteristic of the DC-DC converters including one known as
Soluman Ahtiwish, Aimen Khalifa
core
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
DESIGN AND IMPLEMENTATION OF AN OBJECT TRACKING SYSTEM CONTROL USING PID AND MOVEMENT PREDICTION [PDF]
, 2009 The tracking system usually has some lack of problem, that is unstable system when the object moved so the tracking process can’t define the object position well. On the other hands, when the object moves, the system can’t track object suddenly along
Ningrum, Endah S
core
Design of discrete PI‐PR2 controllers for time‐delayed systems using dominant pole placement method
Asian Journal of Control, EarlyView.Abstract This paper presents a new controller structure known as the proportional‐integral proportional‐double‐retarded (PI‐PR2) designed for discrete‐time systems with time delay. The dominant pole placement technique, which is frequently encountered in control systems, is used as the primary design method. The design method starts that dominant poles
Ayşe Duman Mammadov +2 more
wiley +1 more source
Simulation of speed control brushless DC motor using gaussian fuzzy logic controller [PDF]
, 2014 This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors.
Abd Karim, Nurliana
core
Multi‐Scale Hybrid Modeling to Predict Cell Culture Process With Metabolic Phase Transitions
Biotechnology and Bioengineering, EarlyView.ABSTRACT To advance understanding of cellular metabolism and reduce batch‐to‐batch variability in cell culture processes, this study introduces a multi‐scale hybrid modeling framework designed to simulate and predict the dynamic behavior of CHO cell cultures undergoing metabolic phase transitions.
Keqi Wang, Sarah W. Harcum, Wei Xie
wiley +1 more source