Homogeneous SMC Design Using Artificial Neural Network

The paper proposes a renewed design of homogeneous unit sliding mode controller for multi-input system. The so-called homogeneous artificial neural network is utilized for the design. The presented approach simplifies practical implementation of the homogeneous unit control. Theoretical results are supported by numerical simulations.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/vss61690.2024.10753386
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.35

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article

Homogeneous SMC Design Using Artificial Neural Network

Xubin Ping, Andrey Polyakov
1 citations
Manufacturing Process and Optimization
0.35
article

Homogeneous SMC Design Using Artificial Neural Network

Xubin Ping, Andrey Polyakov
article en
1 citations

Abstract

The paper proposes a renewed design of homogeneous unit sliding mode controller for multi-input system. The so-called homogeneous artificial neural network is utilized for the design. The presented approach simplifies practical implementation of the homogeneous unit control. Theoretical results are supported by numerical simulations.

Centre National de la Recherche Scientifique (FR), Xidian University (CN), École Centrale de Lille (FR)
National Natural Science Foundation of China
Openalex Percentile: Top 34%
Manufacturing Process and Optimization
0.35
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