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

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 of...

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...

Feedback control systems

Feedback control systems

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...

Open and closed-loop control systems

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...

Cooperative Allosteric Transitions

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...

Cooperative Allosteric Transitions

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...

You might also read

Related Articles

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

Sort by

Same author

Hypoxia training attenuates left ventricular remodeling in rabbit with myocardial infarction.

Journal of geriatric cardiology : JGC·2014

Same author

Imides modified benzopicenes: synthesis, solid structure and optoelectronic properties.

Organic & biomolecular chemistry·2014

Same author

An efficient identity-based key management scheme for wireless sensor networks using the Bloom filter.

Sensors (Basel, Switzerland)·2014

Same author

A rare variant in APOC3 is associated with plasma triglyceride and VLDL levels in Europeans.

Nature communications·2014

Same author

A new nodavirus is associated with covert mortality disease of shrimp.

The Journal of general virology·2014

Same author

Sensitive detection of trace amounts of KRAS codon 12 mutations by a fast and novel one-step technique.

Clinical biochemistry·2014

Search research articles

Related Experiment Video

Updated: May 25, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Cooperative output regulation with application to multi-agent consensus under switching network.

Youfeng Su¹, Jie Huang

¹Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong. yfsu@mae.cuhk.edu.hk

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|February 8, 2012

Summary

This study addresses cooperative output regulation for linear multi-agent systems with switching networks. A novel distributed observer network enables dynamic control, solving complex coordination problems.

Related Experiment Videos

Last Updated: May 25, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Area of Science:

Control Theory
Networked Systems
Robotics

Background:

Cooperative output regulation is crucial for coordinated multi-agent system behavior.
Switching networks introduce complexity in information exchange between agents.
Existing decentralized and centralized methods are insufficient for this problem.

Purpose of the Study:

To develop a robust control strategy for linear multi-agent systems operating under dynamic network topologies.
To generalize the leader-following consensus problem in a more complex networked environment.
To enable cooperative output regulation despite limited inter-subsystem communication.

Main Methods:

Devised a distributed observer network to overcome information limitations.
Implemented dynamic state feedback control using the observer network.
Developed dynamic measurement output feedback control based on observed states.

Main Results:

Successfully achieved cooperative output regulation for linear multi-agent systems under switching networks.
The distributed observer network effectively managed limited information exchange.
Demonstrated the solution's applicability to the leader-following consensus problem.

Conclusions:

The proposed distributed observer network is effective for cooperative output regulation in complex networked systems.
This approach provides a unified solution for generalized leader-following consensus problems.
The findings advance the control of distributed systems with dynamic communication constraints.