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

Control Systems01:10

Control Systems

1.2K
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...
1.2K
Feedback control systems01:26

Feedback control systems

357
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...
357
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

153
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...
153
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

686
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
686
Control Systems: Applications01:25

Control Systems: Applications

674
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...
674
PD Controller: Design01:26

PD Controller: Design

304
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,...
304

You might also read

Related Articles

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

Sort by
Same author

A nuclear-encoded protein, mTERF6, mediates transcription termination of rpoA polycistron for plastid-encoded RNA polymerase-dependent chloroplast gene expression and chloroplast development.

Scientific reports·2018
Same author

Cumulative metabolic effects of low-dose benzo(<i>a</i>)pyrene exposure on human cells.

Toxicology research·2018
Same author

New MS network analysis pattern for the rapid identification of constituents from traditional Chinese medicine prescription Lishukang capsules in vitro and in vivo based on UHPLC/Q-TOF-MS.

Talanta·2018
Same author

Efficient Catalytic Performance for Acylation-Nazarov Cyclization Based on an Unusual Postsynthetic Oxidization Strategy in a Fe(II)-MOF.

Inorganic chemistry·2018
Same author

A prospective, mixed-methods, before and after study to identify the evidence base for the core components of an effective Paediatric Early Warning System and the development of an implementation package containing those core recommendations for use in the UK: Paediatric early warning system - utilisation and mortality avoidance- the PUMA study protocol.

BMC pediatrics·2018
Same author

The Polysaccharides from <i>Codonopsis pilosula</i> Modulates the Immunity and Intestinal Microbiota of Cyclophosphamide-Treated Immunosuppressed Mice.

Molecules (Basel, Switzerland)·2018

Related Experiment Video

Updated: Aug 3, 2025

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

1.7K

Decentralized Control for Large-Scale Systems With Actuator Faults and External Disturbances: A Data-Driven Method.

Yan Li, Hao Zhang, Zhuping Wang

    IEEE Transactions on Neural Networks and Learning Systems
    |April 7, 2023
    PubMed
    Summary

    This study introduces a data-driven optimal control method for large-scale systems, simultaneously addressing disturbances, actuator faults, and uncertainties. The new approach ensures system stability and performance despite complex challenges.

    More Related Videos

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    547
    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

    2.5K

    Related Experiment Videos

    Last Updated: Aug 3, 2025

    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

    1.7K
    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    547
    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

    2.5K

    Area of Science:

    • Control Theory
    • Systems Engineering
    • Data-Driven Methods

    Background:

    • Traditional control methods for large-scale systems often address disturbances, actuator faults, and uncertainties in isolation.
    • A unified approach is needed to handle these combined effects for improved system robustness and performance.
    • Existing optimal control strategies may not be directly applicable to complex, interconnected large-scale systems with multiple simultaneous challenges.

    Purpose of the Study:

    • To develop a novel data-driven optimal control architecture for large-scale systems.
    • To simultaneously account for disturbances, actuator faults, and system uncertainties within a unified framework.
    • To enhance the class of large-scale systems amenable to effective optimal control strategies.

    Main Methods:

    • Establishment of a min-max optimization index derived from zero-sum differential game theory.
    • Integration of Nash equilibrium solutions from subsystems to formulate a decentralized zero-sum differential game strategy.
    • Utilization of adaptive parameters to mitigate the impact of actuator failures.
    • Application of adaptive dynamic programming (ADP) to solve the Hamilton-Jacobi-Isaac (HJI) equation without prior system dynamics knowledge.

    Main Results:

    • A decentralized control strategy is derived, enabling the stabilization of large-scale systems.
    • The proposed adaptive parameters effectively eliminate performance degradation due to actuator failures.
    • Stability analysis confirms the asymptotic stabilization of the large-scale system under the proposed controller.
    • A multipower system example demonstrates the practical effectiveness of the developed control protocols.

    Conclusions:

    • The proposed data-driven optimal control framework successfully integrates disturbances, actuator faults, and uncertainties for large-scale systems.
    • The method provides a robust and stable control solution, validated through theoretical analysis and a practical example.
    • This approach expands the applicability of optimal control to a broader range of complex, real-world systems.