Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

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...

Observational Learning

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...

Distributed Loads

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

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...

Dynamic Equilibrium

Dynamic Equilibrium

A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...

Transformers in Distribution System

Transformers in Distribution System

Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...

You might also read

Related Articles

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

Sort by

Same author

A single nucleotide polymorphism in LRP2 is associated with susceptibility to Alzheimer's disease in the Chinese population.

Clinica chimica acta; international journal of clinical chemistry·2010

Same author

Three-component assembly and divergent ring-expansion cascades of functionalized 2-iminooxetanes.

Angewandte Chemie (International ed. in English)·2010

Same author

Prokaryotic expression and potential application of the truncated PCV-2 capsid protein.

Virologica Sinica·2010

Same author

Serum and urinary cell-free MiR-146a and MiR-155 in patients with systemic lupus erythematosus.

The Journal of rheumatology·2010

Same author

Peptide dendrimers as efficient and biocompatible gene delivery vectors: Synthesis and in vitro characterization.

Journal of controlled release : official journal of the Controlled Release Society·2010

Same author

The amplification and evolution of orthologous 22-kDa α-prolamin tandemly arrayed genes in coix, sorghum and maize genomes.

Plant molecular biology·2010

Search research articles

Related Experiment Video

Updated: Jul 16, 2025

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

Adaptive Dynamic Event-Triggered Distributed Output Observer for Leader-Follower Multiagent Systems Under Directed

Juan Zhang, Huaguang Zhang, Wei Wang

IEEE Transactions on Neural Networks and Learning Systems

|September 15, 2023

Summary

This study addresses the leader-follower consensus problem in multiagent systems (MASs) by developing a novel adaptive observer and compensator. The new method avoids requiring full leader system knowledge, making it practical for real-world applications.

More Related Videos

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Related Experiment Videos

Last Updated: Jul 16, 2025

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

Control Engineering
Systems Science
Robotics

Background:

Leader-follower consensus is crucial for multiagent systems (MASs).
Existing methods often require complete leader system information, which is not always available.
Practical applications may only provide leader output information.

Purpose of the Study:

To develop an adaptive distributed dynamic event-triggered observer for followers to estimate leader system properties.
To design an adaptive dynamic event-triggered compensator for achieving leader-follower consensus using only leader output information.
To address limitations of existing methods by reducing reliance on a priori leader system knowledge.

Main Methods:

Designed a novel adaptive distributed dynamic event-triggered observer for each follower.
The observer learns minimum polynomial coefficients of the leader system matrix, not the full matrix.
Developed an adaptive dynamic event-triggered compensator utilizing the observer and leader output data.

Main Results:

The proposed observer and compensator effectively solve the leader-follower consensus problem.
The method is scalable and suitable for large-scale multiagent systems.
Reduced information transmission dimensions in observer design.

Conclusions:

The novel adaptive observer and compensator scheme successfully achieves leader-follower consensus.
The approach is practical for scenarios where only leader output is available.
The method offers scalability and efficiency for complex multiagent systems.