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.
Bao, Haoran (59488973200); Nikolaeva, Anna (59489398100); Xia, Jun (59148841500); Ma, Feng (59489188000)
Evolution Trends and Future Prospects in Artificial Marine Reef Research: A 28-Year Bibliometric Analysis
2025
10.3390/su17010184
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214475018&doi=10.3390%2fsu17010184&partnerID=40&md5=de023fd8f5c61e9bce1810c36393d7db
Department of Marine and Fisheries Business Administration, Pukyong National University, Busan, 48513, South Korea; School of Economics and Management, Nanjing Forestry University, Nanjing, 210037, China; Department of Marine Design Convergence Engineering, Pukyong National University, Busan, 48513, South Korea; Department of Environmental Design, Dongseo University, Busan, 47011, South Korea; College of Network Communication, Zhejiang Yuexiu University of Foreign Languages, Shaoxing, 312000, China
All Open Access; Gold Open Access
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