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.
Jrade, Ahmad (12804778900); Jalaei, Farnaz (57212026747); Zhang, Jieying Jane (59228484300); Jalilzadeh Eirdmousa, Saeed (59228444800); Jalaei, Farzad (54894358100)
Potential Integration of Bridge Information Modeling and Life Cycle Assessment/Life Cycle Costing Tools for Infrastructure Projects within Construction 4.0: A Review
2023
10.3390/su152015049
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199226134&doi=10.3390%2fsu152015049&partnerID=40&md5=b503d960a132c3df787b4cb99ad749dc
Department of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, ON, Canada; National Research Council Canada, Government of Canada, Ottawa, K1A 0R6, ON, Canada
All Open Access; Gold Open Access
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