Prescribed performance of discrete-time controller based on the dynamic equivalent data model

被引：33
|
作者：
Treesatayapun, C. [1 ]
机构：
[1] CINVESTAV, Dept Robot & Adv Mfg, IPN, 1062 Parque Ind Ramos Arizpe Ramos Arizpe, Coah 25903, Mexico
来源：
APPLIED MATHEMATICAL MODELLING | 2020年 / 78卷
关键词：
Equivalent data model; Prescribed performance control; Discrete-time systems; Fuzzy rules emulated networks; Current control motor; Robotic system; ADAPTIVE CONTROLLER; NONLINEAR-SYSTEMS;
D O I：
10.1016/j.apm.2019.10.003
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The equivalent model of a class of unknown discrete-time systems is developed by data-driven approach and fuzzy rules inference network when plant's control direction can vary for both positive and negation and zero at the dead-zone. The convergence of the modeling error is guaranteed by the proposed learning algorithm. By using the equivalent model, the prescribed performance controller is established when the tracking error is preserved inside the designed boundary at both transient and steady states. The performance of the proposed scheme is validated by theoretical and practical results. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码：366 / 382
页数：17
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