Adaptive Decentralized Output-Feedback Control Dealing With Static/Dynamic Interactions and Different-Unknown Subsystem Control Directions
Adaptive Decentralized Output-Feedback Control Dealing With Static/Dynamic Interactions and Different-Unknown Subsystem Control Directions
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DOI：
10.1109/tac.2020.3028563
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发表时间：
2021-08
影响因子：
6.8
通讯作者：
Zhirong Zhang;Yongduan Song;C. Wen
中科院分区：
文献类型：
--
作者：
Zhirong Zhang;Yongduan Song;C. Wen
在本文中，我们提出了一类不确定系统的自适应分散控制方案，其中子系统具有不同的未知控制方向，并且涉及静态非线性交互以及输入和输出动态交互。为每个子系统设计了一种新的k -滤波器形式，仅利用局部信息产生控制信号。提出了一种新的nussbaum型函数，该函数具有一个关键性质，即可以对单个不等式中具有不同控制方向的子系统的多个nussbaum型函数之间的相互联系进行量化。通过适当选择Lyapunov函数，严格建立了闭环系统的全局稳定性。仿真结果验证了所提方法的有效性。
In this article, we present an adaptive decentralized control scheme for a class of interconnected uncertain systems with subsystems having different yet unknown control directions and involving static nonlinear interactions as well as input and output dynamic interactions. A new form of K-filters is designed for each subsystem, and only local information is employed to generate control signals. A new Nussbaum-type function is developed with a key property that allows for the quantification of the interconnections among multiple Nussbaum-type functions for the subsystems with different control directions in a single inequality. By using appropriately chosen Lyapunov functions, global stability of the resulting closed-loop system is rigorously established. Simulation results are included to demonstrate the effectiveness of the proposed methodology.