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

页码：334 / 349

页数：16

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