Related Experiment Video
Updated: Jan 25, 2026

07:36
Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
Published on: September 1, 2018
40.1K
Bit-Rate Conditions for the Consensus of Quantized Multiagent Systems With Network-Induced Delays Based on Event
IEEE Transactions on Cybernetics
|April 26, 2019
Summary
This study establishes bit-rate conditions for unstable multiagent systems to achieve consensus using event-triggered communication, reducing data transmission needs and ensuring stability despite network delays.
Area of Science:
- Control Systems Engineering
- Networked Systems
- Distributed Systems
Background:
- Multiagent systems often face challenges with communication delays and resource limitations.
- Achieving consensus (agreement) in unstable systems is complex due to inherent system dynamics.
Purpose of the Study:
- To determine finite bit-rate conditions for guaranteeing consensus in unstable scalar multiagent systems.
- To develop an event-triggering strategy that conserves communication resources.
Main Methods:
- Implemented a periodic event-triggering scheme for state transmission.
- Utilized an internal saturation function to bound control inputs.
- Extracted information from packet receive times to reduce data payload.
Main Results:
- Guaranteed asymptotic consensus at a finite bit rate, even with network-induced delays.
- Achieved lower bit rates compared to time-triggered strategies.
- Bit-rate conditions are dependent on network delays, system instability, and topology.
Conclusions:
- The proposed event-triggering strategy effectively ensures consensus in unstable multiagent systems.
- The strategy offers communication efficiency by adapting to network conditions.
- The derived bit-rate conditions provide a theoretical basis for practical implementation.
Related Concept Videos
Protein Networks
4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Network Covalent Solids
16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Speciation Rates
22.7K
Overview
22.7K
Reaction Rate
62.5K
The rate of reaction is the change in the amount of a reactant or product per unit time. Reaction rates are therefore determined by measuring the time dependence of some property that can be related to reactant or product amounts. Rates of reactions that consume or produce gaseous substances, for example, are conveniently determined by measuring changes in volume or pressure.
The mathematical representation of the change in the concentration of reactants and products, over time, is the rate...
The mathematical representation of the change in the concentration of reactants and products, over time, is the rate...
62.5K
Integration of Synaptic Events
3.6K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
3.6K
Concentration and Rate Law
37.8K
The rate of a reaction is affected by the concentrations of reactants. Rate laws (differential rate laws) or rate equations are mathematical expressions describing the relationship between the rate of a chemical reaction and the concentration of its reactants.
For example, in a generic reaction aA + bB ⟶ products, where a and b are stoichiometric coefficients, the rate law can be written as:
For example, in a generic reaction aA + bB ⟶ products, where a and b are stoichiometric coefficients, the rate law can be written as:
37.8K

