Generalized Multivariable Super-Twisting Algorithm Combined with an Adaptive Dual-Layer Scheme

被引：0
作者：
de Azevedo Filho, Jair Luiz [1 ]
Nunes, Eduardo Vieira Leao [1 ]
机构：
[1] Univ Fed Rio de Janeiro, Elect Engn Program, COPPE, Cidade Univ, BR-21945970 Rio De Janeiro, RJ, Brazil
来源：
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS | 2025年
关键词：
Adaptive control; Multivariable control; Super-Twisting Algorithm; Generalized Super-Twisting; SLIDING MODE CONTROL; ORDER;
D O I：
10.1007/s40313-025-01167-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a generalized multivariable adaptive super-twisting algorithm is proposed. Finite-time convergence is achieved for a family of Multivariable Super-Twisting functions, which ensures robustness for a broader class of disturbances. Furthermore, based on the Dual-Layer adaptive scheme, the adaptation gain is able to tune the gains of the algorithm while avoiding conservative choices, even when an upper-bound for the perturbation is unknown.
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页码：413 / 424
页数：12
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