Artículo

A Review on Data-Driven Model-Free Sliding Mode Control

Resumen

Sliding mode control (SMC) has been widely used to control linear and nonlinear dynamics systems because of its robustness against parametric uncertainties and matched disturbances. Although SMC design has traditionally addressed process model-based approaches, the rapid advancements in instrumentation and control systems driven by Industry 4.0, coupled with the increased complexity of the controlled processes, have led to the growing acceptance of controllers based on data-driven techniques. This review article aims to explore the landscape of SMC, focusing specifically on data-driven techniques through a comprehensive systematic literature review that includes a bibliometric analysis of relevant documents and a cumulative production model to estimate the deceleration point of the scientific production of this topic. The most used SMC schemes and their integration with data-driven techniques and intelligent algorithms, including identifying the leading applications, are presented.
Tao, Xing (57799888900); Wang, Gang (57210467183); Wei, Wudi (57189600560); Su, Jinming (55808712700); Chen, Xiu (57216164185); Shi, Minjuan (57665868200); Liao, Yinlu (57709210200); Qin, Tongxue (57709127200); Wu, Yuting (57709168000); Lu, Beibei (57709290500); Liang, Hao (57220928681); Ye, Li (7202531493); Jiang, Junjun (47161065500)
A bibliometric analysis of m6A methylation in viral infection from 2000 to 2022
2024
10.1186/s12985-024-02294-1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182722171&doi=10.1186%2fs12985-024-02294-1&partnerID=40&md5=f96b721052ee4f5b23af8da48dc0bfca
Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Guangxi, Nanning, China; China (Guangxi) – ASEAN Joint Laboratory of Emerging Infectious Diseases, Guangxi Medical University, Guangxi, Nanning, China; Biosafety Level -3 Laboratory, Life Sciences Institute, Guangxi Medical University, Guangxi, Nanning, China
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio