Comments on “Relaxed Conditions for the Input-to-State Stability of Switched Nonlinear Time-Varying Systems”

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Date

2025

Authors

Sahan, Gokhan

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Volume Title

Publisher

Ieee-inst Electrical Electronics Engineers inc

Open Access Color

Green Open Access

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Abstract

This study addresses the deficiencies in the assumptions of the results in (Chen and Yang, 2017) due to the lack of uniformity. We first show the missing hypothesis by presenting a counterexample. Then, we prove why they are wrong in that form and show the errors in the proof of the main result of (Chen and Yang, 2017). Next, we compare the assumptions and related results of (Chen and Yang, 2017) with similar works in the literature. Lastly, we give suggestions to complement the shortcomings of the hypotheses and thus correct them.

Description

Keywords

Asymptotic Stability, Time-Varying Systems, Stability Criteria, Convergence, Artificial Intelligence, Upper Bound, Training, Switches, Lyapunov Methods, Data Mining, Indefinite Lyapunov Function, Nonlinear Time-Varying (Ntv) Systems, Uniform Asymptotic Stability (Uas), Uniform Attractivity

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Q1

Scopus Q

Q1
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Source

IEEE Transactions on Automatic Control

Volume

70

Issue

6

Start Page

4233

End Page

4236
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Scopus : 0

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29

checked on Apr 27, 2026

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