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

616
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...
616
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
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.4K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.4K
State Space Representation01:27

State Space Representation

461
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
461
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

894
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
894
Control System Problem01:21

Control System Problem

323
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...
323

You might also read

Related Articles

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

Sort by
Same author

Differential gene expression profiles of DNA repair genes in esophageal cancer cells after X-ray irradiation.

Chinese journal of cancer·2010
Same author

Identification of differentially expressed genes related to radioresistance of human esophageal cancer cells.

Chinese journal of cancer·2010
Same author

[Rapid identification of cortex dictamni pieces and its counterfeit alangium Chinense by spectral imaging method].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2010
Same author

Cleavage and reorganization of Zr-C/Si-C bonds leading to Zr/Si-N organometallic and heterocyclic compounds.

Journal of the American Chemical Society·2010
Same author

Abl tyrosine kinase phosphorylates nonmuscle Myosin light chain kinase to regulate endothelial barrier function.

Molecular biology of the cell·2010
Same author

[Modified silica gel for absorption of ammonia].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2010

Related Experiment Video

Updated: Dec 20, 2025

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

Improved AET Robust Control for Networked T-S Fuzzy Systems With Asynchronous Constraints.

Wenfeng Li, Zhengchao Xie, Jing Zhao

    IEEE Transactions on Cybernetics
    |May 27, 2020
    PubMed
    Summary

    This study introduces an improved adaptive event-triggered (AET) control algorithm for networked Takagi-Sugeno (T-S) fuzzy systems. The novel approach conserves network bandwidth and reduces control system conservatism.

    More Related Videos

    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    7.0K
    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

    2.0K

    Related Experiment Videos

    Last Updated: Dec 20, 2025

    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
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    7.0K
    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

    2.0K

    Area of Science:

    • Control Systems Engineering
    • Fuzzy Logic Systems
    • Networked Systems

    Background:

    • Networked control systems face challenges with limited bandwidth and asynchronous operations.
    • Takagi-Sugeno (T-S) fuzzy systems are widely used but require efficient control strategies.
    • Existing event-triggered mechanisms can be further optimized for resource economization.

    Purpose of the Study:

    • To develop an improved adaptive event-triggered (AET) control algorithm for networked T-S fuzzy systems.
    • To enhance communication resource efficiency by optimizing the AET mechanism.
    • To address asynchronous constraints and reduce control system conservatism.

    Main Methods:

    • Proposed an improved AET mechanism with two adjusting parameters for resource saving.
    • Applied a reconstructed approach to synchronize time scales for asynchronous premise variables.
    • Constructed a new augmented Lyapunov-Krasovskii functional incorporating event-triggered information and triple integral terms.
    • Utilized Bessel-Legendre and extended reciprocally convex matrix inequalities for less conservative controller design.

    Main Results:

    • The improved AET mechanism significantly economizes communication resources.
    • Synchronization of time scales effectively handles asynchronous premise variables.
    • The developed control algorithm demonstrates reduced conservatism.
    • Simulations on a cart-damper-spring system validate the algorithm's performance.

    Conclusions:

    • The proposed AET control algorithm offers superior performance for networked T-S fuzzy systems.
    • The method effectively conserves network bandwidth and improves control system efficiency.
    • The algorithm provides a less conservative and more robust control solution.