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Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-B...

Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-B...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6547b6a7c904f348f368d33fef3b786

Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach

About this item

Full title

Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach

Publisher

Switzerland: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2024-12, Vol.26 (12), p.1078

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Many existing control techniques proposed in the literature tend to overlook faults and physical limitations in the systems, which significantly restricts their applicability to practical, real-world systems. Consequently, there is an urgent necessity to advance the control and synchronization of such systems in real-world scenarios, specifically w...

Alternative Titles

Full title

Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b6547b6a7c904f348f368d33fef3b786

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6547b6a7c904f348f368d33fef3b786

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e26121078

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