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Neural Processing Letters
Published in: Neural Processing Letters 6/2023

13-05-2023

Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances

Authors: Yinghao Tong, Zhengyun Ren, Dongbing Tong, Zhiping Fan, Xue Feng

Published in: Neural Processing Letters | Issue 6/2023

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Abstract

In this paper, a finite-time state feedback structure is designed for neural networks with time-varying delays and disturbances. Firstly, finite-time state estimators and finite-time controllers are designed for neural networks to form combined finite-time state feedback structures. Secondly, closed-loop systems composed of neural network systems and estimation error systems are obtained. Then, based on the Lyapunov stability theory, the finite-time stability theory and LMIs technology, finite-time bounded conditions of closed-loop systems are obtained. Finally, the validity of the obtained results is verified by two examples.
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Metadata
Title
Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances
Authors
Yinghao Tong
Zhengyun Ren
Dongbing Tong
Zhiping Fan
Xue Feng
Publication date
13-05-2023
Publisher
Springer US
Published in
Neural Processing Letters / Issue 6/2023
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-023-11289-y

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