Distributed Fixed-Time Resource Allocation Algorithm for the General Linear Multi-Agent Systems

This brief focuses on the distributed resource allocation problem (RAP) for a general linear heterogeneous multi-agent system (MAS), in which each agent adopts different structure parameters. By means of multi-agent consensus approach and symbolic-function-based fixed-time control theory, an initial...

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Veröffentlicht in:IEEE transactions on circuits and systems. II, Express briefs Jg. 69; H. 6; S. 2867 - 2871
Hauptverfasser: Shi, Xiasheng, Xu, Lei, Yang, Tao, Lin, Zhiyun, Wang, Xuesong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Circuits and systems
Control theory
Convergence
Distributed algorithms
Eigenvalues and eigenfunctions
fixed-time
heterogenous
initialization-free
Linear programming
Linear systems
Multiagent systems
Optimization
Proportional integral
Resource allocation
Resource management
ISSN:1549-7747, 1558-3791
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Zusammenfassung:This brief focuses on the distributed resource allocation problem (RAP) for a general linear heterogeneous multi-agent system (MAS), in which each agent adopts different structure parameters. By means of multi-agent consensus approach and symbolic-function-based fixed-time control theory, an initialization-free distributed resource allocation algorithm is designed. Moreover, the equality constraint is solved based on the proportional-integral (PI) control idea and the output of all agents tracks to the optimal solution within fixed-time. Finally, we reveal the effectiveness and fast convergence performance of our proposed algorithm by a simulation example.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2022.3152248