Adaptive consensus of nonlinearly parameterized multi-agent systems

Title: Adaptive consensus of nonlinearly parameterized multi-agent systems
Creator: Imran, Imil H.; Chen, Zhiyong; Yan, Yamin; Fu, Minyue
Relation: IEEE Control Systems Letters Vol. 3, Issue 3, p. 505-510
Publisher Link: http://dx.doi.org/10.1109/LCSYS.2019.2911688
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: journal article
Date: 2019
Description: This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.
Subject: networked control systems; adaptive control; distributed control
Identifier: http://hdl.handle.net/1959.13/1429637
Identifier: uon:38731
Identifier: ISSN:2475-1456
Language: eng
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