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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

167
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...
167
Control Systems01:10

Control Systems

1.3K
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...
1.3K
Controller Configurations01:22

Controller Configurations

142
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...
142
Feedback control systems01:26

Feedback control systems

387
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...
387
PI Controller: Design01:24

PI Controller: Design

433
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...
433
PD Controller: Design01:26

PD Controller: Design

320
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,...
320

You might also read

Related Articles

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

Sort by
Same author

Drug-Conjugated Tam-NHC-Gold(I) Complexes Overcome <i>ESR1</i> Mutant Breast Cancer Resistance and Downregulate the RAMP3/CALCR Signaling Pathway.

Journal of medicinal chemistry·2026
Same author

Hepatitis C virus inhibits the E2F2/PI3K/AKT signaling pathway through miR-378b and leads to glycolipid metabolism disorders in the liver.

Molecular biology reports·2026
Same author

Learning Occlusion-Dynamic Invariant Representations for Multi-Object Tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Designer Dynamic DNA Nanoaggregate in Living Cell for Mitochondrial Energy Restriction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Discovery of NTQ2494, a potent and orally bioavailable inhibitor of AXL kinase for the treatment of human tumors.

European journal of medicinal chemistry·2026
Same author

Data-Driven Interrogation of Reactivity in Acid-Catalyzed Carbonyl-Olefin Metathesis with Machine Learning and Large Language Models.

Journal of the American Chemical Society·2026

Related Experiment Video

Updated: Aug 27, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Nussbaum-Based Adaptive Fault-Tolerant Control for Nonlinear CPSs With Deception Attacks: A New Coordinate

Wen-Di Chen, Yuan-Xin Li, Lei Liu

    IEEE Transactions on Cybernetics
    |September 28, 2022
    PubMed
    Summary

    This study introduces new adaptive control methods for cyber-physical systems (CPSs) facing deception attacks and actuator faults. These techniques ensure system stability and accurate tracking despite cyber threats and hardware failures.

    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

    1.7K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.0K

    Related Experiment Videos

    Last Updated: Aug 27, 2025

    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.7K
    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
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.0K

    Area of Science:

    • Control Engineering
    • Cyber-Physical Systems Security
    • Adaptive Control Theory

    Background:

    • Cyber-physical systems (CPSs) are vulnerable to sophisticated deception attacks, like false data injection, compromising sensor networks and system states.
    • Actuator faults, including loss of effectiveness and bias, further challenge the reliable operation of CPSs.
    • Achieving robust tracking control in CPSs under combined cyberattacks and actuator faults presents significant design difficulties.

    Purpose of the Study:

    • To develop novel adaptive fault-tolerant control schemes for nonlinear strict-feedback CPSs subjected to deception attacks and actuator faults.
    • To address the challenge of maintaining tracking control when system states and outputs are compromised by cyberattacks.
    • To propose methods that can simultaneously handle unknown attack gains and various types of actuator faults.

    Main Methods:

    • A novel coordinate transformation technique is introduced, incorporating unknown attack gains and utilizing compromised states for controller design.
    • Nussbaum functions are employed within the backstepping design process to mitigate the impact of unknown attack gains.
    • Adaptive laws are skillfully designed to completely compensate for actuator faults, such as loss of effectiveness and bias faults.

    Main Results:

    • The first control scheme guarantees bounded signals within the closed-loop system and ensures the output tracks the desired reference signal.
    • A second adaptive control scheme is developed, accommodating actuator faults under more generalized assumptions of deception attacks.
    • MATLAB simulations validate the effectiveness and feasibility of the proposed adaptive control strategies.

    Conclusions:

    • The developed adaptive fault-tolerant control schemes effectively enhance the resilience of CPSs against deception attacks and actuator faults.
    • The proposed methods provide a robust framework for achieving reliable tracking control in compromised CPS environments.
    • The study demonstrates the potential for advanced control strategies to secure CPS operations in the face of complex cyber threats and system degradations.