JOURNAL ARTICLE

Consensus of Hybrid Multi-Agent Systems

Yuanshi ZhengJingying MaLong Wang

Year: 2017 Journal:   IEEE Transactions on Neural Networks and Learning Systems Vol: 29 (4)Pages: 1359-1365   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this brief, we consider the consensus problem of hybrid multiagent systems. First, the hybrid multiagent system is proposed, which is composed of continuous-time and discrete-time dynamic agents. Then, three kinds of consensus protocols are presented for the hybrid multiagent system. The analysis tool developed in this brief is based on the matrix theory and graph theory. With different restrictions of the sampling period, some necessary and sufficient conditions are established for solving the consensus of the hybrid multiagent system. The consensus states are also obtained under different protocols. Finally, simulation examples are provided to demonstrate the effectiveness of our theoretical results.

Keywords:
Multi-agent system Computer science Consensus Hybrid system Protocol (science) Graph theory Discrete time and continuous time Distributed computing Directed graph Graph Artificial intelligence Theoretical computer science Algorithm Machine learning Mathematics

Metrics

379
Cited By
48.82
FWCI (Field Weighted Citation Impact)
35
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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