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

PD Controller: Design01:26

PD Controller: Design

456
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
456
PI Controller: Design01:24

PI Controller: Design

811
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...
811
Controller Configurations01:22

Controller Configurations

222
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...
222
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.3K
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...
1.3K
Feedback control systems01:26

Feedback control systems

556
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...
556
Control Systems: Applications01:25

Control Systems: Applications

935
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
935

You might also read

Related Articles

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

Sort by
Same author

Switching Prescribed-Time Adaptive Second-Order Sliding Mode Control Subject to Unknown State-Dependent Uncertainties.

IEEE transactions on cybernetics·2026
Same author

High-Order Sliding Mode Control Design Subject to Unknown Nonvanishing Uncertainties.

IEEE transactions on cybernetics·2026
Same author

Estimator-Based Second-Order Sliding Mode Control Design for Nonlinear Systems With Unknown Input Delay.

IEEE transactions on cybernetics·2025
Same author

Design of Integral-Based HOSM Controller Under Perturbations of Unknown Magnitudes.

IEEE transactions on cybernetics·2025
Same author

Histopathologic Differential Diagnosis and Estrogen Receptor/Progesterone Receptor Immunohistochemical Evaluation of Breast Carcinoma Using a Deep Learning-Based Artificial Intelligence Architecture.

The American journal of pathology·2024
Same author

Adaptive nonsingular terminal sliding mode controller for PMSM drive system using modified extended state observer.

Mathematical biosciences and engineering : MBE·2023

Related Experiment Video

Updated: Nov 18, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.0K

HOSM controller design with an output constraint and its application.

Keqi Mei1, Shihong Ding1

  • 1School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.

ISA Transactions
|February 7, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel high-order sliding mode (HOSM) controller using barrier Lyapunov functions (BLF) to manage nonlinear systems with output constraints, ensuring finite-time stability.

Keywords:
Barrier Lyapunov functionFinite-time stabilityHigh-order sliding modeOutput constraint

More Related Videos

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
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.9K

Related Experiment Videos

Last Updated: Nov 18, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.0K
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
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.9K

Area of Science:

  • Control Systems Engineering
  • Nonlinear Dynamics
  • Robotics and Automation

Background:

  • Nonlinear systems often face challenges with output constraints, impacting stability and performance.
  • Existing control strategies may struggle to simultaneously address sliding mode dynamics and output limitations.

Purpose of the Study:

  • To develop a high-order sliding mode (HOSM) controller capable of handling nonlinear systems with output constraints.
  • To ensure finite-time stability and adherence to pre-set output constraints for the controlled system.

Main Methods:

  • Integration of a barrier Lyapunov function (BLF) with the adding a power integrator (API) technique.
  • Development of a HOSM controller that manages closed-loop dynamics under output constraints.
  • Rigorous mathematical proofs to guarantee system stability and constraint satisfaction.

Main Results:

  • The proposed HOSM controller ensures finite-time stability for the closed-loop system.
  • The controller successfully achieves and maintains pre-set output constraints.
  • A numerical example demonstrates the advantages over traditional HOSM controllers.

Conclusions:

  • The developed HOSM controller effectively addresses nonlinear systems with output constraints.
  • The strategy is validated through application to a series elastic actuator system.
  • Simulation results confirm the efficacy and advantages of the proposed control algorithm.