Jove
Visualize
Contact Us

Related Concept Videos

PID Controller01:19

PID Controller

301
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
301
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

237
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
237
Physiological Control of Respiration01:23

Physiological Control of Respiration

4.7K
Introduction
Breathing, a seemingly passive process, is regulated by the respiratory center in the brainstem. This center coordinates the involuntary control of respirations, which means it occurs without conscious effort, ensuring a smooth and uninterrupted pattern.
Regulation of Ventilation
The body maintains ventilation by monitoring levels of carbon dioxide (CO2), oxygen (O2), and hydrogen ion concentration (pH) in the arterial blood. Among these factors, the level of CO2 plays a crucial...
4.7K
Physiology of Respiration II: Neurogenic Control of Respiration01:22

Physiology of Respiration II: Neurogenic Control of Respiration

1.2K
The neurogenic control of respiration coordinates various neural networks and pathways to regulate breathing rate and depth, meeting the body's oxygen and carbon dioxide exchange requirements. This system adapts to physiological and environmental conditions, ensuring optimal breathing patterns.
Central Control
The brainstem is the primary site of central control, hosting respiratory centers:
1.2K
PI Controller: Design01:24

PI Controller: Design

678
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
678
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

210
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
210

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

α-Aminophosphonate and oxazaphosphinane compounds as potential cancer inhibitors: <i>in vitro</i> evaluation and computational studies.

Future medicinal chemistry·2026
Same author

An Artificial Intelligence-Based Melt Flow Rate Prediction Method for Analyzing Polymer Properties.

Polymers·2025
Same author

Data-Driven Polymer Classification Using BiGRU and Hybrid Metaheuristic Optimization Algorithms.

Polymers·2025
Same author

High-Accuracy Polymer Property Detection via Pareto-Optimized SMILES-Based Deep Learning.

Polymers·2025
Same author

Enhancing Multi-Label Chest X-Ray Classification Using an Improved Ranking Loss.

Bioengineering (Basel, Switzerland)·2025
Same author

Non-Enzymatic Glucose Sensors Composed of Polyaniline Nanofibers with High Electrochemical Performance.

Molecules (Basel, Switzerland)·2024
Same journal

RETRACTION: An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Image Risk Assessment of the Thyroid Cancer Model Based on Discriminant Analysis and the Value of TAP and CEA Combined Detection.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Meta-Analysis of the Prognostic Value of Narcotrend Monitoring of Different Depths of Anesthesia and Different Bispectral Index (BIS) Values for Cognitive Dysfunction after Tumor Surgery in Elderly Patients.

Journal of healthcare engineering·2026
Same journal

Correction to "Representation of Differential Learning Method for Mitosis Detection".

Journal of healthcare engineering·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Oct 29, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

5.8K

Fuzzy PID Control for Respiratory Systems.

Ibrahim M Mehedi1,2, Heidir S M Shah1, Ubaid M Al-Saggaf1,2

  • 1Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Journal of Healthcare Engineering
|July 14, 2021
PubMed
Summary
This summary is machine-generated.

A fuzzy proportional integral derivative (FPID) controller improves mechanical ventilation by tracking airway pressure more effectively than a classical PID controller. This advanced control ensures patient safety by maintaining peak pressure within critical limits.

More Related Videos

Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique
13:10

Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique

Published on: May 15, 2013

57.6K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.7K

Related Experiment Videos

Last Updated: Oct 29, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

5.8K
Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique
13:10

Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique

Published on: May 15, 2013

57.6K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.7K

Area of Science:

  • Biomedical Engineering
  • Control Systems Engineering
  • Respiratory Physiology

Background:

  • Mechanical ventilation is critical for patients with respiratory failure.
  • Accurate airway pressure control is essential to prevent lung injury.
  • Existing controllers may struggle with patient-specific parameters and system nonlinearities.

Purpose of the Study:

  • To implement and evaluate a fuzzy proportional integral derivative (FPID) control design for mechanical ventilation.
  • To compare the performance of FPID against a classical PID controller.
  • To ensure safe airway pressure management during ventilation.

Main Methods:

  • Modeled a respiratory system including blower-hose-patient and a single compartmental lung with nonlinear compliance.
  • Designed and simulated both FPID and classical PID controllers.
  • Evaluated controller performance based on response time, overshoot, and tracking error.

Main Results:

  • The FPID controller demonstrated a quicker response compared to the PID controller.
  • FPID exhibited lower overshoot and a smaller tracking error.
  • The proposed FPID strategy effectively managed airway pressure despite unknown patient parameters like hose leaks and breathing effort.

Conclusions:

  • FPID control offers superior performance for airway pressure tracking in mechanical ventilation.
  • This approach provides valuable insights for developing safer and more effective ventilators.
  • FPID controllers can adapt to dynamic patient conditions, enhancing ventilation safety.