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

783
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...
783
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

394
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
394
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.9K
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...
1.9K
Controller Configurations01:22

Controller Configurations

424
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
424
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

433
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...
433
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

422
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
422

You might also read

Related Articles

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

Sort by
Same author

Dysregulated CD38 expression on T cells was associated with rapidly progressive interstitial lung disease in anti-melanoma differentiation-associated gene 5 positive dermatomyositis.

Frontiers in immunology·2024
Same author

Dietary Intake of Chromista Oil Alters Hepatic Metabolomic Profile of Mice With Excess Fat Mass.

Nutrition and metabolic insights·2024
Same author

Efficacy and safety of leadless ventricular pacemaker: a single-center retrospective observational study.

Cardiovascular diagnosis and therapy·2024
Same author

Thermal Ablation for Papillary Thyroid Carcinoma.

JAMA otolaryngology-- head & neck surgery·2024
Same author

Effects of Ginseng on Cognitive Function: A Systematic Review and Meta-Analysis.

Phytotherapy research : PTR·2024
Same author

Metabolomic Alteration in Adipose Monocyte Chemotactic Protein-1 Deficient Mice Fed a High-Fat Diet.

Nutrition and metabolic insights·2024

Related Experiment Video

Updated: Mar 19, 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

2.2K

Dynamic Surface Control for a Class of Nonlinear Feedback Linearizable Systems With Actuator Failures.

Kendrick Amezquita Semprun, Lin Yan, Waseem Aslam Butt

    IEEE Transactions on Neural Networks and Learning Systems
    |June 14, 2016
    PubMed
    Summary

    This study introduces dynamic surface control with actuator failure compensation for feedback linearizable systems. The novel approach ensures system stability and accurate output tracking despite uncertainties and failures.

    More Related Videos

    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

    3.0K
    Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
    11:44

    Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

    Published on: August 15, 2014

    10.8K

    Related Experiment Videos

    Last Updated: Mar 19, 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

    2.2K
    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

    3.0K
    Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
    11:44

    Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

    Published on: August 15, 2014

    10.8K

    Area of Science:

    • Control Systems Engineering
    • Nonlinear Dynamics
    • Robotics

    Background:

    • Feedback linearizable systems are crucial in advanced control applications.
    • Actuator failures and system uncertainties pose significant challenges to control performance.
    • Existing control methods may struggle with dynamic changes and nonlinearities.

    Purpose of the Study:

    • To develop a robust dynamic surface control strategy for feedback linearizable systems.
    • To compensate for actuator failures and system uncertainties using novel techniques.
    • To ensure uniform ultimate boundedness and minimize output tracking errors.

    Main Methods:

    • Design of a dynamic surface state feedback controller incorporating radial basis function networks.
    • Development of an output feedback controller utilizing high-gain observers.
    • Theoretical analysis to prove system stability and error convergence.

    Main Results:

    • The proposed control scheme effectively compensates for system uncertainties and dynamic changes.
    • Actuator failure compensation is achieved, maintaining system performance.
    • The system demonstrates uniform ultimate boundedness, and output tracking error converges to a small residual set.

    Conclusions:

    • The developed dynamic surface control with actuator failure compensation is effective for the studied systems.
    • The integration of radial basis function networks offers a novel approach to uncertainty and failure compensation.
    • The control strategy guarantees robust performance and precise output tracking.