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

1.7K
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
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

1.1K
Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
1.1K
Feedback control systems01:26

Feedback control systems

639
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...
639
Linear time-invariant Systems01:23

Linear time-invariant Systems

811
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
811
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

845
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
845
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

326
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...
326

You might also read

Related Articles

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

Sort by
Same author

Metabolic reprogramming through PIM3 inhibition reverses hypoxia-induced CAR-T cell dysfunction in solid tumors.

Journal of translational medicine·2025
Same author

A series of precise and controllable base editors with split-TadA-8e.

Molecular therapy. Nucleic acids·2025
Same author

Stability of connected vehicle systems over analog fading networks.

ISA transactions·2025
Same author

Recent Progress on NHC-Catalyzed 1,6-Conjugate Addition Reactions.

Chemical record (New York, N.Y.)·2024
Same author

NHC-catalyzed [12+2] reaction of polycyclic arylaldehydes for access to indole derivatives.

Chemical communications (Cambridge, England)·2023
Same author

Exploring Molecular Complexity by N-Heterocyclic Carbene Organocatalysis: New Activation and Reaction Diversity.

Chemical record (New York, N.Y.)·2022

Related Experiment Video

Updated: Dec 30, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.0K

Observer-based H∞ control for cyber-physical systems encountering DoS jamming attacks: An attack-tolerant approach.

Mufeng Wang1, Yonggui Liu1, Bugong Xu1

  • 1College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China.

ISA Transactions
|January 21, 2020
PubMed
Summary

This study introduces robust H∞ control for Cyber-Physical Systems (CPSs) against denial-of-service (DoS) jamming attacks. The new methods ensure system performance despite unknown jammer strategies in time-triggered and event-triggered mechanisms.

Keywords:
controlAttack strategyCyber–physical systemsDoS jamming attacksPacket dropoutsSINR-basedWorking subcycle

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.0K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K

Related Experiment Videos

Last Updated: Dec 30, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.0K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K

Area of Science:

  • Control Systems Engineering
  • Cybersecurity
  • Wireless Communication

Background:

  • Cyber-Physical Systems (CPSs) are vulnerable to Denial-of-Service (DoS) jamming attacks.
  • Effective control strategies are needed to maintain CPS performance under jamming.
  • Existing methods may not address diverse jammer strategies or transmission mechanisms.

Purpose of the Study:

  • To develop novel H∞ control strategies for CPSs facing DoS jamming attacks.
  • To design controllers that are tolerant to unknown jammer strategies.
  • To analyze system performance under different transmission mechanisms (TTM, ETM) and attack parameters.

Main Methods:

  • A unified framework defining 'working subcycle' for jammer strategies based on energy and stealth.
  • Design of H∞ observer-based controllers using an attack-tolerant mechanism.
  • Transformation of controller design problems into auxiliary convex optimization problems.
  • Simulation analysis under varying interference power.

Main Results:

  • Demonstrated effectiveness of the proposed H∞ control methods for CPSs under DoS jamming.
  • Quantified system performance variations based on jammer strategies and interference levels.
  • Successful implementation for both time-triggered (TTM) and event-triggered (ETM) mechanisms.

Conclusions:

  • The proposed H∞ control approach provides robust performance for CPSs against sophisticated DoS jamming attacks.
  • The framework accommodates different transmission mechanisms and jammer behaviors.
  • The methods offer a viable solution for enhancing CPS security and reliability.