Related Experiment Video
Updated: Mar 29, 2026
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
1.2K
On Neighbor Information Utilization in Distributed Receding Horizon Control for Consensus-Seeking
IEEE Transactions on Cybernetics
|November 25, 2015
Summary
This study explores how neighbor information impacts distributed receding horizon control (RHC) for multiagent systems. Optimal use of this information is key to achieving faster consensus and system stability.
Area of Science:
- Control Theory
- Multiagent Systems
- Networked Systems
Background:
- Distributed control systems require agents to reach agreement (consensus).
- Receding Horizon Control (RHC) is a control strategy applicable to multiagent systems.
- Effective utilization of information from neighboring agents is crucial for consensus.
Purpose of the Study:
- To investigate optimal strategies for using neighbor information in distributed RHC-based consensus.
- To develop conditions for achieving consensus in finite and infinite horizon scenarios.
- To identify methods for maximizing convergence rates in multiagent systems.
Main Methods:
- Formulation of a general framework for distributed RHC-based consensus using neighbor information.
- Development of sufficient conditions for consensus in the finite horizon case.
- Proposal of necessary and sufficient conditions for consensus in the infinite horizon case.
Main Results:
- The method of utilizing neighbor information significantly influences consensus achievement.
- Parameters ensuring consensus are dependent on the network topology.
- Appropriate utilization of neighbor information leads to the fastest convergence rates.
- Simulation studies validate the theoretical findings.
Conclusions:
- Neighbor information is a critical factor in distributed RHC consensus.
- Network topology directly impacts the parameters required for consensus.
- Optimizing the use of neighbor information enhances system performance and convergence speed.
Related Concept Videos
01:21Distributed Loads: Problem Solving
1.2K
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...
1.2K
01:20Cluster Sampling Method
15.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
15.6K
01:24Area Computation by the Alternative Coordinate Method
774
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
774
01:13Stability of Equilibrium Configuration: Problem Solving
1.2K
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
Problem-solving in the context of the stability of equilibrium configuration...
1.2K
01:29Distance Problem
180
When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...
180
00:59Propagation of Uncertainty from Random Error
2.2K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
2.2K