当前位置: X-MOL 学术IEEE Trans. Cybern. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fuzzy Adaptive Decentralized Control for Nonstrict-Feedback Large-Scale Switched Fractional-Order Nonlinear Systems.
IEEE Transactions on Cybernetics ( IF 9.4 ) Pub Date : 2021-03-11 , DOI: 10.1109/tcyb.2021.3061136
Wenshan Bi , Tong Wang , Xinghu Yu

This article investigates the adaptive fuzzy control algorithm for a class of large-scale switched fractional-order nonlinear nonstrict feedback systems. In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapunov stability rules, a virtual control law is presented. A fuzzy adaptive decentralized control method is developed under the technique of the Lyapunov function. Under the operation of the proposed algorithm, the stability of the proposed systems and the control performance can be guaranteed. Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.

中文翻译:

非严格反馈大规模切换分数阶非线性系统的模糊自适应分散控制。

本文研究了一类大型开关分数阶非线性非严格反馈系统的自适应模糊控制算法。在该算法中,我们利用模糊逻辑系统(FLS)来近似复杂的未知非线性函数。基于分数次Lyapunov稳定性规则,提出了一种虚拟控制律。在Lyapunov函数技术的基础上,提出了一种模糊自适应分散控制方法。在所提出算法的操作下,可以保证所提出系统的稳定性和控制性能。最后,仿真结果表明了该方法的可行性和有效性。
更新日期:2021-03-11
down
wechat
bug