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Algorithms
Volume 17
Issue 12
10.3390/a17120543
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Review

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

by
Duby Castellanos-Cárdenas
1,*,
Norha L. Posada
2,
Andrés Orozco-Duque
1,
Lina M. Sepúlveda-Cano
3,
Fabio Castrillón
2,
Oscar E. Camacho
4 and
Rafael E. Vásquez
2
1
Faculty of Engineering, Universidad de Medellín, Carrera 87 # 30-65, Medellín 050026, Colombia
2
School of Engineering, Universidad Pontificia Bolivariana, Circular 1 # 70-01, Medellín 050031, Colombia
3
Business School, Universidad EAFIT, Carrera 49 # Calle 7 Sur-50, Medellín 050022, Colombia
4
Colegio de Ciencias e Ingenierías “El Politécnico”, Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador
*
Author to whom correspondence should be addressed.
Algorithms 2024, 17(12), 543; https://doi.org/10.3390/a17120543
Submission received: 20 September 2024 / Revised: 18 October 2024 / Accepted: 30 October 2024 / Published: 2 December 2024
(This article belongs to the Special Issue Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes)
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Abstract

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.
Keywords: sliding mode control; data-driven techniques; systematic literature review; intelligent algorithms; applications sliding mode control; data-driven techniques; systematic literature review; intelligent algorithms; applications

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MDPI and ACS Style

Castellanos-Cárdenas, D.; Posada, N.L.; Orozco-Duque, A.; Sepúlveda-Cano, L.M.; Castrillón, F.; Camacho, O.E.; Vásquez, R.E. A Review on Data-Driven Model-Free Sliding Mode Control. Algorithms 2024, 17, 543. https://doi.org/10.3390/a17120543

AMA Style

Castellanos-Cárdenas D, Posada NL, Orozco-Duque A, Sepúlveda-Cano LM, Castrillón F, Camacho OE, Vásquez RE. A Review on Data-Driven Model-Free Sliding Mode Control. Algorithms. 2024; 17(12):543. https://doi.org/10.3390/a17120543

Chicago/Turabian Style

Castellanos-Cárdenas, Duby, Norha L. Posada, Andrés Orozco-Duque, Lina M. Sepúlveda-Cano, Fabio Castrillón, Oscar E. Camacho, and Rafael E. Vásquez. 2024. "A Review on Data-Driven Model-Free Sliding Mode Control" Algorithms 17, no. 12: 543. https://doi.org/10.3390/a17120543

APA Style

Castellanos-Cárdenas, D., Posada, N. L., Orozco-Duque, A., Sepúlveda-Cano, L. M., Castrillón, F., Camacho, O. E., & Vásquez, R. E. (2024). A Review on Data-Driven Model-Free Sliding Mode Control. Algorithms, 17(12), 543. https://doi.org/10.3390/a17120543

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