Intelligent Sliding Mode Control: A Comprehensive Review

This paper presents a survey on how an intelligentapproach can be embedded in Sliding Mode Control (SMC)to overcome the problems faced in the practicalimplementation of SMC. An intelligent Sliding Mode Control(ISMC) has emerged by integrating conventional SMC withComputational Intelligence Techniques like GA, PSO foroptimal gain tuning, Neural Network (NN) - based control forsystem identification and control of closed-loop systems, andfuzzy-based SMC. This paper provides an overview of theresearch and applications reported in the literature

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-25
DOI
https://doi.org/10.5281/zenodo.17750016
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00
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Intelligent Sliding Mode Control: A Comprehensive Review

Zenodo (CERN European Organization for Nuclear Research)
Frequency Control in Power Systems
article

Intelligent Sliding Mode Control: A Comprehensive Review

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Abstract

This paper presents a survey on how an intelligentapproach can be embedded in Sliding Mode Control (SMC)to overcome the problems faced in the practicalimplementation of SMC. An intelligent Sliding Mode Control(ISMC) has emerged by integrating conventional SMC withComputational Intelligence Techniques like GA, PSO foroptimal gain tuning, Neural Network (NN) - based control forsystem identification and control of closed-loop systems, andfuzzy-based SMC. This paper provides an overview of theresearch and applications reported in the literature

Zenodo (CERN European Organization for Nuclear Research)
Anand Agricultural University (IN), Alstom (France) (FR)
Openalex Percentile: Top 47%
Frequency Control in Power Systems
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