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- W4386822867 abstract "This article investigates the issue of distributed model-free adaptive iterative learning containment control for unknown nonlinear multi-agent systems (MASs) with dynamic event-triggered strategy. Firstly, the containment error is converted into compact form dynamic linearization by using the dynamic linearization method. Moreover, a dynamic event-triggered strategy is provided for distributed controller to deal with limited bandwidth problem. On this basis, a novel adaptive containment control approach for problem investigated is set up by iterative learning method and event-triggered strategy. The designed controller only uses the I/O signals, the controlled model information is not required. Distributed controllers of each agent are constructed to guarantee that the outputs of followers converge to a convex hull formed by the outputs of leaders in finite time. Finally, a digital simulation is also introduced to depict the reliability of the introduced control protocol." @default.
- W4386822867 created "2023-09-19" @default.
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- W4386822867 date "2023-07-24" @default.
- W4386822867 modified "2023-09-26" @default.
- W4386822867 title "Observer-Based Distributed Model-Free Adaptive Iterative Learning Containment Control for Unknown Nonlinear MASs with Dynamic Event-Triggered Strategy" @default.
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- W4386822867 doi "https://doi.org/10.23919/ccc58697.2023.10240936" @default.
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