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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

693
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...
693
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

543
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
543
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

256
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
256
PID Controller01:19

PID Controller

191
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
191
Controller Configurations01:22

Controller Configurations

139
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...
139
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

139
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...
139

You might also read

Related Articles

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

Sort by
Same author

Image-Based Deep Learning for Cataract Diagnosis: Systematic Review and Meta-Analysis.

Journal of medical Internet research·2026
Same author

A latent profile analysis of hierarchical management of supportive care needs in patients undergoing maintenance hemodialysis.

Scientific reports·2026
Same author

Construction of donkey skin fibroblast immortalized cell line and comparative analysis with primary cells.

Tissue & cell·2026
Same author

Phase-velocity-reversed topological edge states and rainbows for field enhancement and radiation control.

Optics letters·2026
Same author

Multiple Dose Reduction Techniques With Subtraction Coronary CT Angiography for Patients With High Calcification Scores.

Journal of computer assisted tomography·2026
Same author

Clinical evaluation of probe capture based targeted next generation sequencing for pulmonary infection in immunocompromised patients: a cross-sectional diagnostic accuracy study.

Infectious diseases (London, England)·2026

Related Experiment Video

Updated: Aug 19, 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

11.8K

Distributed Optimal Attitude Synchronization Control of Multiple QUAVs via Adaptive Dynamic Programming.

Zijie Guo, Hongyi Li, Hui Ma

    IEEE Transactions on Neural Networks and Learning Systems
    |November 29, 2022
    PubMed
    Summary

    This study introduces a distributed optimal attitude synchronization control for multiple quadrotor unmanned aerial vehicles (QUAVs) using adaptive dynamic programming. The method ensures robust control despite uncertainties and constraints, validated by simulations.

    More Related Videos

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
    07:49

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

    Published on: November 26, 2019

    8.1K
    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

    Related Experiment Videos

    Last Updated: Aug 19, 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

    11.8K
    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
    07:49

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

    Published on: November 26, 2019

    8.1K
    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

    Area of Science:

    • Robotics and Control Systems
    • Aerospace Engineering
    • Artificial Intelligence

    Background:

    • Quadrotor unmanned aerial vehicles (QUAVs) require precise attitude control for complex missions.
    • Existing control strategies often struggle with parameter uncertainties, external disturbances, and attitude constraints.
    • Adaptive dynamic programming (ADP) offers a promising framework for optimal control in uncertain environments.

    Purpose of the Study:

    • To develop a distributed optimal attitude synchronization control strategy for multiple QUAVs.
    • To address parameter uncertainties, external disturbances, and attitude constraints inherent in QUAV systems.
    • To enhance the robustness and performance of attitude control for coordinated QUAV operations.

    Main Methods:

    • Modeling QUAV attitude dynamics as affine nominal systems with uncertainties.
    • Employing a one-to-one mapping technique to handle attitude constraints.
    • Designing an improved nonquadratic cost function for robustness and input constraints.
    • Utilizing adaptive dynamic programming (ADP) with a novel critic neural network (NN) weight tuning rule based on concurrent learning (CL).

    Main Results:

    • The proposed control strategy effectively achieves optimal attitude synchronization for multiple QUAVs.
    • The concurrent learning technique overcomes the difficulty of meeting persistence of excitation (PE) conditions.
    • Lyapunov stability analysis confirms the stability of the closed-loop system and the convergence of NN weights.
    • Simulation results demonstrate the practical effectiveness of the developed control approach.

    Conclusions:

    • The adaptive dynamic programming-based distributed optimal attitude synchronization control is effective for multiple QUAVs.
    • The integration of concurrent learning enhances the adaptability and robustness of the control system.
    • The proposed method provides a stable and reliable solution for attitude control of QUAVs in challenging environments.