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
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee-inst Electrical Electronics Engineers inc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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
Fields of Science
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
N/A
Source
IEEE Transactions on Automatic Control
Volume
70
Issue
6
Start Page
4233
End Page
4236
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Citations
Scopus : 0
Page Views
29
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