Prescribed performance controller with affine equivalent model for a class of unknown nonlinear discrete-time systems

被引：9
|
作者：
Treesatayapun, C. [1 ]
机构：
[1] CINVESTAV Saltillo, Dept Robot & Adv Mfg, Ramos Arizpe 25903, Mexico
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2021年 / 52卷 / 02期
关键词：
Affine equivalent model; prescribed performance control; discrete-time systems; ADAPTIVE-CONTROL;
D O I：
10.1080/00207721.2020.1829161
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The prescribed performance control is established for a class of unknown nonlinear discrete-time systems. The affine equivalent model is utilised for both positive and negative control directions by fuzzy-rules emulated networks. The tracking error converges to a small residual boundary inaugurated under prescribed performance according to model error and uncertainties. Furthermore, the robust gain developed by the proposed controller enhances the closed-loop performance over the unknown but bounded disturbance. The validation of the proposed scheme is verified by simulation results and the experimental system.
引用
收藏
页码：334 / 349
页数：16
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