Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems

IEEE Access

Shanliang Zhu¹  Shuguo Yang¹  Lei Chu¹  Mingxin Wang¹  Yuqun Han¹ 

[1] School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China;

关键词: Multi-dimensional Taylor network;    nonlinear systems;    adaptive control;    output-feedback;    backstepping;   

DOI  :  10.1109/ACCESS.2020.2989523

来源: DOAJ

【 摘 要 】

In this paper, the output feedback adaptive multi-dimensional Taylor network (MTN) tracking control for a class of nonlinear systems with unmeasurable states is investigated. Firstly, a nonlinear state observer is designed to estimate the unmeasurable states, and then an adaptive MTN-based output-feedback control approach is developed via backstepping technique. Secondly, in view of the simple structure of MTN, the controller based on MTN has the advantages of simple structure and fast calculation speed. Thirdly, in order to avoid the “differential explosion” problem inherited from the backstepping design, dynamic surface control (DSC) technique is introduced in the process of controller design. The results demonstrate that this scheme guarantees the stability and tracking performance of the closed-loop system. Finally, simulation examples are given to reveal the viability of the proposed method.

【 授权许可】

Unknown