The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators
This paper proposed doubly stochastic quadratic operators (DSQOs) for a consensus problem in multi-Agent systems. The proposed scheme uses new nonlinear class model of family of quadratic stochastic operators (QSOs) for convergence consensus. The nonlinear model of QSOs plays an important role for r...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
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| Online Access: | http://irep.iium.edu.my/51909/ http://irep.iium.edu.my/51909/8/51909-new.pdf http://irep.iium.edu.my/51909/9/51909-The%20convergence%20consensus%20of%20multi-Agent%20systems%20controlled%20via%20doubly%20stochastic%20quadratic%20operators_SCOPUS.pdf |
| _version_ | 1848783958932717568 |
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| author | Abdulghafor, Rawad Sherzod Turaev, Sherzod Zeki, Akram M. Shahidi, Farruh |
| author_facet | Abdulghafor, Rawad Sherzod Turaev, Sherzod Zeki, Akram M. Shahidi, Farruh |
| author_sort | Abdulghafor, Rawad |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper proposed doubly stochastic quadratic operators (DSQOs) for a consensus problem in multi-Agent systems. The proposed scheme uses new nonlinear class model of family of quadratic stochastic operators (QSOs) for convergence consensus. The nonlinear model of QSOs plays an important role for reaching consensus. The nonlinear protocols for DSQOs are based on majorization theory. The paper investigates how the multi-Agent systems converge to the optimal values (center) by using DSQOs. The proposed nonlinear model of DSQOs will be compared with the linear model of DeGroot and the nonlinear model of QSOs. Furthermore, we will show that the convergence of DSQOs is superior than DeGroot linear model and low-complex than QSOs nonlinear model. |
| first_indexed | 2025-11-14T16:29:38Z |
| format | Proceeding Paper |
| id | iium-51909 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:29:38Z |
| publishDate | 2016 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-519092019-10-03T01:18:31Z http://irep.iium.edu.my/51909/ The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators Abdulghafor, Rawad Sherzod Turaev, Sherzod Zeki, Akram M. Shahidi, Farruh T Technology (General) This paper proposed doubly stochastic quadratic operators (DSQOs) for a consensus problem in multi-Agent systems. The proposed scheme uses new nonlinear class model of family of quadratic stochastic operators (QSOs) for convergence consensus. The nonlinear model of QSOs plays an important role for reaching consensus. The nonlinear protocols for DSQOs are based on majorization theory. The paper investigates how the multi-Agent systems converge to the optimal values (center) by using DSQOs. The proposed nonlinear model of DSQOs will be compared with the linear model of DeGroot and the nonlinear model of QSOs. Furthermore, we will show that the convergence of DSQOs is superior than DeGroot linear model and low-complex than QSOs nonlinear model. Institute of Electrical and Electronics Engineers Inc. 2016-01-14 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/51909/8/51909-new.pdf application/pdf en http://irep.iium.edu.my/51909/9/51909-The%20convergence%20consensus%20of%20multi-Agent%20systems%20controlled%20via%20doubly%20stochastic%20quadratic%20operators_SCOPUS.pdf Abdulghafor, Rawad and Sherzod Turaev, Sherzod and Zeki, Akram M. and Shahidi, Farruh (2016) The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators. In: 1st International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR 2015, 18 August 2015 - 19 August 2015, Putrajaya, Malaysia. http://ieeexplore.ieee.org/document/7379131/ 10.1109/ISAMSR.2015.7379131 |
| spellingShingle | T Technology (General) Abdulghafor, Rawad Sherzod Turaev, Sherzod Zeki, Akram M. Shahidi, Farruh The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| title | The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| title_full | The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| title_fullStr | The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| title_full_unstemmed | The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| title_short | The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| title_sort | convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/51909/ http://irep.iium.edu.my/51909/ http://irep.iium.edu.my/51909/ http://irep.iium.edu.my/51909/8/51909-new.pdf http://irep.iium.edu.my/51909/9/51909-The%20convergence%20consensus%20of%20multi-Agent%20systems%20controlled%20via%20doubly%20stochastic%20quadratic%20operators_SCOPUS.pdf |