Distributed Data Processing for Multi-Agent Systems via Wave Model

A novel method for modeling and analyzing distributed communications in multi-agent systems (MAS) is presented using the multi-dimensional (m-D) systems theory. The GR model is employed for modeling data transactions, taking into account quantization schemes in both in-node and inter-node computatio...

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Main Authors: Tofighi, Saeedreza, Shafiee, Masoud
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Computational modeling
Data models
Data processing
distributed data processing
givone-roesser (GR) model
multi-agent systems
quantization
Quantization (signal)
Real-time systems
Stability analysis
wave model
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Shafiee, Masoud
description A novel method for modeling and analyzing distributed communications in multi-agent systems (MAS) is presented using the multi-dimensional (m-D) systems theory. The GR model is employed for modeling data transactions, taking into account quantization schemes in both in-node and inter-node computations. To process the distributed data in the network, a wave-like model is proposed, which guarantees the stability of the entire system. This method can be particularly significant due to its ability to handle large network dimensions and real-time processing capability, while not being restricted by the nodes' location in the network.
doi_str_mv 10.1109/ICEE59167.2023.10334794
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subjects Analytical models
Computational modeling
Data models
Data processing
distributed data processing
givone-roesser (GR) model
multi-agent systems
quantization
Quantization (signal)
Real-time systems
Stability analysis
wave model
title Distributed Data Processing for Multi-Agent Systems via Wave Model
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