For the large-scale nonlinear systems subject to dynamic uncertainties, an adaptive multi-dimensional Taylor network (MTN)-based decentralized control strategy is proposed, which can effectively solve output tracking control problem of the systems. Firstly, a dynamic signal is introduced to cope with the problem of unknown nonlinear dynamic uncertainties. Secondly, in each step of the backstepping, only one MTN is used to approximate the combination of unknown nonlinear functions. Then, in the last step of the backstepping, a new adaptive control scheme is designed, which realizes the stability and boundedness of the controlled systems. It is worth noting that the large-scale nonlinear systems, the unknown dynamic uncertainties and the MTN appear in the same framework for the first time. Finally, three simulation examples are presented to verify the feasibility of the proposed control strategy.

针对受动态不确定性影响的大规模非线性系统，提出了一种基于自适应多维泰勒网络（MTN）的分散控制策略，可以有效解决系统的输出跟踪控制问题。首先，引入动态信号来解决未知的非线性动态不确定性问题。其次，在backstepping的每一步中，只使用一个MTN来逼近未知非线性函数的组合。然后，在反演的最后一步，设计了一种新的自适应控制方案，实现了受控系统的稳定性和有界性。值得注意的是，大规模非线性系统、未知动态不确定性和MTN首次出现在同一框架中。最后，