Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Taj Maedeh; SHAHRIARI KAHKESHI MARYAM

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Control Year:2019 | Volume:13 | Issue:1 Page(s): 35-46

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

635

Download:

Cites:

Information Journal Paper

Title

Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems

Author(s)

Taj Maedeh | SHAHRIARI KAHKESHI MARYAM | Issue Writer Certificate

Keywords

Multi-agent systemsQ2

Distributed controlQ2

Radial-basis function neural networksQ1

Abstract

This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear Multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect of the neighbors of each agent in the multi-agent system. Then, the proposed scheme based on the dynamic surface control approach has been presented. Stability analysis of the closed-loop system shows that all the signals of the closed-loop system are uniformly ultimately bounded. The proposed scheme solves the consensus problem in the Multi-agent systems with uncertain dynamics and avoids the "explosion of complexity" problem. The simulation results of the proposed approach are presented on a group of single-link robots with uncertain dynamics including four followers and one leader. The presented results verify the effectiveness of the proposed method.

Cites

No record.

References

No record.

Cite

APA: Copy

Taj, Maedeh, & SHAHRIARI KAHKESHI, MARYAM. (2019). Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems. JOURNAL OF CONTROL, 13(1 ), 35-46. SID. https://sid.ir/paper/120768/en

Vancouver: Copy

Taj Maedeh, SHAHRIARI KAHKESHI MARYAM. Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems. JOURNAL OF CONTROL[Internet]. 2019;13(1 ):35-46. Available from: https://sid.ir/paper/120768/en

IEEE: Copy

Maedeh Taj, and MARYAM SHAHRIARI KAHKESHI, “Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems,” JOURNAL OF CONTROL, vol. 13, no. 1 , pp. 35–46, 2019, [Online]. Available: https://sid.ir/paper/120768/en

Related Journal Papers