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

Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

251
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
251
Feedback control systems01:26

Feedback control systems

314
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...
314
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Linear time-invariant Systems01:23

Linear time-invariant Systems

262
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...
262
PD Controller: Design01:26

PD Controller: Design

238
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,...
238
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

212
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
212

You might also read

Related Articles

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

Sort by
Same author

Predictive Value of SpO2/RR Ratio for Short-Term Intubation and Mortality Risks in Pre-ED Patients With Acute Dyspnea Without Oxygen Therapy: A Retrospective Cohort Study.

Emergency medicine international·2026
Same author

A DFT Study on the Interaction Mechanisms and Adsorption-Induced Raman Spectral Changes of Tire-Derived Contaminants 6PPD/6PPD‑Q with Au16 Nanoclusters.

ACS omega·2026
Same author

Predictive value of peripheral blood eosinophil levels and dynamics for efficacy and safety of immune checkpoint inhibitors in non-small cell lung cancer: a real-world study.

Frontiers in immunology·2026
Same author

Size effects in large cyclo[26]carbon: a theoretical study.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Prediction of the joint toxicity of microplastics and organic pollutants on algae based on machine learning.

Marine pollution bulletin·2026
Same author

Performance-Guaranteed Consensus Tracking of Non-Smooth Multiagent Systems: A Low-Complexity Design Approach.

IEEE transactions on cybernetics·2026
Same journal

Hybrid vehicle state estimation using closed-form liquid neural networks and nonlinear Kalman filtering.

ISA transactions·2026
Same journal

Cross-coupled synchronization control strategy for rebar binding robots based on impedance control.

ISA transactions·2026
Same journal

Gas flow tracking for electronic pressure control system in gas chromatography under state constraints and hysteresis：An innovative fuzzy adaptive control approach.

ISA transactions·2026
Same journal

Stackelberg differential game-based fuzzy adaptive hierarchical optimal control for a nonlinear system with unknown dynamics.

ISA transactions·2026
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

Asynchronous sampled-data control for connected vehicles with heterogeneous delays.

Shixi Wen1, Ge Guo2

  • 1School of Information and Engineering, Dalian University, Dalian, 116622, China; The Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, 116622, China.

ISA Transactions
|January 7, 2024
PubMed
Summary
This summary is machine-generated.

This study presents an asynchronous sampled-data control method for vehicular platoons with varying sampling times and delays. The controller ensures platoon stability and calculates maximum sampling intervals and delays for reliable operation.

Keywords:
Asynchronous sampled-data controlConnected vehiclesHeterogeneous time delaysString stabilityUndirected inter-vehicle communication topology

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K
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: Jul 6, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K
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 Systems Engineering
  • Automotive Engineering
  • Robotics

Background:

  • Vehicular platoons require robust control systems for safe operation.
  • Asynchronous sampling and actuator delays pose significant challenges in networked control systems.
  • Heterogeneous vehicle dynamics and inter-vehicle topologies complicate platoon control design.

Purpose of the Study:

  • To develop an asynchronous sampled-data controller for vehicular platoons with heterogeneous sampling and actuator delays.
  • To analyze the closed-loop tracking error dynamics considering nonuniform sampling, vehicle heterogeneity, and time delays.
  • To guarantee stability performance and determine maximum allowable sampling intervals and time delays.

Main Methods:

  • Designing an asynchronous sampled-data controller for each follower vehicle.
  • Decomposing platoon tracking-error dynamics into individual subsystems for simplified analysis.
  • Utilizing Lyapunov stability theory to derive optimal control conditions.
  • Extending the method to an event-based sampling scheme for vehicular platoons.

Main Results:

  • A novel asynchronous sampled-data control strategy for vehicular platoons is proposed.
  • The controller effectively manages heterogeneous sampling, vehicle dynamics, and actuator delays.
  • Stability is guaranteed, and precise calculations for maximum sampling intervals and delays are provided.
  • Numerical examples validate the effectiveness of the proposed control method.

Conclusions:

  • The developed asynchronous sampled-data control method enhances the stability and reliability of vehicular platoons.
  • The approach addresses practical challenges like unsynchronized clocks and varying communication delays.
  • The findings contribute to the advancement of autonomous driving and cooperative vehicle systems.