Approximation-free design for distributed consensus tracking of networked uncertain non-linear multi-agent systems with heterogenous high powers
- Authors
- Yoo, Sung Jin
- Issue Date
- 24-Sep-2020
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- feedback; nonlinear control systems; stability; multi-agent systems; uncertain systems; Lyapunov methods; distributed control; control system synthesis; network theory (graphs); networked uncertain heterogenous power-chained multiagent systems; nonlinear functions; directed networks; distributed consensus tracking; networked uncertain nonlinear multiagent systems; distributed approximation-free design problem; recursive design strategy; Lyapunov stability theorem
- Citation
- IET CONTROL THEORY AND APPLICATIONS, v.14, no.14, pp 1975 - 1988
- Pages
- 14
- Journal Title
- IET CONTROL THEORY AND APPLICATIONS
- Volume
- 14
- Number
- 14
- Start Page
- 1975
- End Page
- 1988
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44102
- DOI
- 10.1049/iet-cta.2019.0374
- ISSN
- 1751-8644
1751-8652
- Abstract
- This study investigates a distributed approximation-free design problem for guaranteed consensus tracking quality of networked uncertain heterogenous power-chained multi-agent systems with completely unknown non-linearities. Compared with the existing studies in the presence of power-chained state variables, the main contribution of this study is to provide a distributed low-complexity consensus tracker design strategy using only the relative output information among agents, without the use of adaptive neural or fuzzy function approximators for estimating unknown non-linear functions. A novel recursive design strategy independent of the feedback domination technique is established to deal with power-chained state variables under directed networks. Using the Lyapunov stability theorem, it is shown that the preselected performance of the consensus tracking error is ensured.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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