Jove
Visualize
Contact Us
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 Concept Videos

Feedback control systems01:26

Feedback control systems

648
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
648
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

341
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...
341
Control Systems01:10

Control Systems

1.7K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.7K
Control System Problem01:21

Control System Problem

355
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
355
SFG Algebra01:16

SFG Algebra

286
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
286
PI Controller: Design01:24

PI Controller: Design

1.1K
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...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Hv1 inhibition rescues AD pathology by restoring microglial mitochondrial function and enhancing mitochondrial transfer.

Experimental & molecular medicine·2025
Same author

GPT2-ICC: A data-driven approach for accurate ion channel identification using pre-trained large language models.

Journal of pharmaceutical analysis·2025
Same author

Small molecule inhibits KCNQ channels with a non-blocking mechanism.

Nature chemical biology·2025
Same author

Facile fabrication of semi-IPN hydrogel adsorbent based on quaternary cellulose via amino-anhydride click reaction in water.

International journal of biological macromolecules·2022
Same author

Design of wear facets of mandibular first molar crowns by using patient-specific motion with an intraoral scanner: A clinical study.

The Journal of prosthetic dentistry·2021
Same author

pH-responsive antibacterial film based polyvinyl alcohol/poly (acrylic acid) incorporated with aminoethyl-phloretin and application to pork preservation.

Food research international (Ottawa, Ont.)·2021

Related Experiment Video

Updated: Jan 3, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.1K

Performance-Based Fault Detection and Fault-Tolerant Control for Nonlinear Systems With T-S Fuzzy Implementation.

Huayun Han, Ying Yang, Linlin Li

    IEEE Transactions on Cybernetics
    |November 22, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a performance-based fault detection (FD) and fault-tolerant control (FTC) strategy for nonlinear systems. The approach enhances system stability and performance recovery following detected faults, validated via a three-tank system case study.

    More Related Videos

    Design and Analysis for Fall Detection System Simplification
    08:05

    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    11.1K
    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

    2.9K

    Related Experiment Videos

    Last Updated: Jan 3, 2026

    Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
    06:45

    Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

    Published on: October 28, 2022

    2.1K
    Design and Analysis for Fall Detection System Simplification
    08:05

    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    11.1K
    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

    2.9K

    Area of Science:

    • Control Engineering
    • Nonlinear System Analysis
    • Fault Diagnosis and Control

    Background:

    • Nonlinear systems present challenges in maintaining performance under fault conditions.
    • Existing fault detection and control methods may not adequately address performance degradation.

    Purpose of the Study:

    • To develop a performance-based fault detection (FD) and fault-tolerant control (FTC) scheme for nonlinear systems.
    • To introduce a fault-tolerant margin for quantifying system resilience.
    • To recover system performance after fault occurrence.

    Main Methods:

    • Utilized nonlinear factorization techniques for controller parameterization.
    • Developed an FD scheme to estimate and detect stability performance degradation.
    • Presented a performance-based FTC strategy for performance recovery.
    • Applied Takagi-Sugeno fuzzy dynamic modeling for scheme design.

    Main Results:

    • Successfully designed and investigated a performance-based FD and FTC scheme.
    • Introduced the fault-tolerant margin as a key performance indicator.
    • Demonstrated the effectiveness of the proposed FTC strategy in recovering system performance.
    • Validated the approach through a case study on a three-tank system.

    Conclusions:

    • The proposed performance-based FD and FTC scheme effectively addresses fault impacts on nonlinear systems.
    • The Takagi-Sugeno fuzzy modeling approach provides a viable design methodology.
    • The fault-tolerant margin serves as a useful metric for system fault tolerance.