This paper is concerned with the consensus tracking problem for a class of nonlinear discrete-time multi-agent systems (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-based 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.

中文翻译：

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具有编解码机制的非线性多智能体系统的无模型自适应控制


本文关注一类非线性离散时间多智能体系统（MAS）的共识跟踪问题。动态线性化方法用于近似所讨论的 MAS 的非线性动力学，从而产生等效的线性时变数据模型。为了减轻有限通信带宽的影响，采用了基于均匀量化的编码解码机制。提出了一种无模型自适应分布式控制协议来处理跟踪问题，该协议完全由数据驱动，除了I/O数据外不需要任何模型信息。最后，利用两个说明性仿真示例来证明所提出的控制方案的有效性。