Adaptive Fuzzy Decentralized Control for Fractional-Order Nonlinear Large-Scale Systems With Unmodeled Dynamics

IEEE Access

Yongliang Zhan¹  Shuai Sui¹  Shaocheng Tong¹  Junwei Jin²  C. L. Philip Chen³ 

[1] College of Science, Liaoning University of Technology, Jinzhou, China;School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, China;School of Computer Science and Engineering, South China University of Technology, Guangzhou, China;

关键词: Fractional-order system;    large-scale systems;    DSC;    adaptive fuzzy decentralized control;    backstepping;    unmodeled dynamics;   

DOI  :  10.1109/ACCESS.2021.3119611

来源: DOAJ

【 摘 要 】

This paper addresses the decentralized control issue for the fractional-order (FO) nonlinear large-scale strict-feedback systems with unmodeled dynamics. The unknown nonlinear functions are identified by fuzzy logic systems (FLSs) and the FO dynamic signals are introduced to dominate the unmodeled dynamics. Additionally, the fractional-order dynamic surface control (FODSC) design technique is introduced into the adaptive backstepping control algorithm to avoid the issue of “explosion of complexity”. Then, an adaptive fuzzy decentralized control scheme is developed via the FO Lyapunov stability criterion. It is proved that the controlled FO systems are stable and the tracking errors can converge to a small neighborhood of zero. The simulation example is provided to confirm the validity of the put forward control scheme.

【 授权许可】

Unknown