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.
Farias, Miriam Leite (57220120696); Alcoforado, Daniela Gomes (57219166657); Patriota, Verônyca Kezya Santos Sousa (57226809061); Palha, Armando Perez (57226815268); de Souza-Leão, André Luiz Maranhão (55337966500)
Qualitative research in marketing: Overview of the Brazilian scientific production from 2010 to 2019
2021
10.5585/REMARK.V20I3.16603
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112740906&doi=10.5585%2fREMARK.V20I3.16603&partnerID=40&md5=73a94c0f1af4b927cbabea86a79be751
All Open Access; Gold Open Access
Scopus
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