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Model-Free Adaptive Control for Nonlinear Multi-Agent Systems With Encoding-Decoding Mechanism
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DOI：10.1109/TSIPN.2022.3174966.png)
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摘要
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This paper is concerned with the consensus tracking problem for a class of nonlinear discrete-time multi-agent sy stems (MASs). The dynamic linearization method is used to approximate the nonlinear dynamics of the addressed MASs, resulting in an equivalent linear time-varying data model. With the purpose of mitigating the effects from limited communication bandwidth, a uniform-quantization-haled encoding-decoding mechanism is exploited. A model-free adaptive distributed control protocol is put forward to deal with the tracking problem, which is totally data-driven without any requirement of model information except for I/O data. Finally, two illustrative simulation examples are utilized to demonstrate the effectiveness of the proposed control scheme.
Keyword:
Encoding-decoding mechanism
model-free adaptive control
multi-agent systems
uniform quantizer
期刊
IF:
4.9
论文数:
736
被引数:
1.9K
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