Consensus by High Gegree of DeGroot model for multi-agent systems
Nonlinear distributions by the high degree of DeGroot model has been studied in this for consensus problem of multi-agent systems (MAS). The idea behind the convergence of nonlinear distribution is that when the degree of nonlinear distribution is increasing the number of iterations is in turn dec...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/77907/2/Acceptance%20Letter.pdf http://irep.iium.edu.my/77907/13/77907_Consensus%20by%20high%20degree%20of%20degroot%20model%20for%20multi-agent%20systems.pdf http://irep.iium.edu.my/77907/ |
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| Summary: | Nonlinear distributions by the high degree of DeGroot model has been studied in this for consensus
problem of multi-agent systems (MAS). The idea behind the convergence of nonlinear distribution is that when
the degree of nonlinear distribution is increasing the number of iterations is in turn decreasing. From these
viewpoints, the efficient aspects of the proposed nonlinearity model by high degree are that the resulting process
is of fast convergence and the consensus could not depend on the kind of transition matrix |
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