Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Hui Li 0087

dblp:66/3387-87 · DBLP profile ↗
← Back
6ranked-venue papers
4as first author
4since 2021 · last 2024
0000-0002-5413-2012ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 3 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
dynamical systems
0.512021
Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses · Sci. China Inf. Sci. 2021
Mathematical optimization › dynamical systems
stability analysis
0.512021
Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses · Sci. China Inf. Sci. 2021
YearPublicationVenuePosition
2024 Global Stability of Fractional Nonlinear Differential Systems With State-Dependent Delayed Impulses
abstract
The fractional-order (FO) nonlinear differential system with state-dependent (SD) delayed impulses (DI) is considered in this brief. The considered impulses are related to the delayed state of the system and the delays are SD. A novel lemma for the monotonicity of the solution of Caputo's FO derivative equation is given. By means of linear matrix inequality (LMI) and several comparative arguments, criteria of uniform stability, uniform asymptotical stability, and Mittag-Leffler stability are obtained. Compared with other works on integer-order (IO) impulsive delayed systems with SD delays or fixed delays, how to impose constraints on parameters and impulses is explored, without imposing the boundedness on the state delays. Two examples are implemented to examine the practicality and sharpness of our theoretical analysis.
Yonggui Kao 0001, Hui Li 0087, Yunlong Liu 0002, Hongwei Xia, Changhong Wang 0003
IEEE Trans. Neural Networks Learn. Syst.2
2022 Mittag-Leffler Stability of Fractional-Order Nonlinear Differential Systems With State-Dependent Delays
abstract
The stability of fractional-order (FO) nonlinear system with state-dependent delays (SDDs) is investigated. Unlike the usual time-dependent delays, the state-dependent (SD) delays make the size of the delays relative to the states, which makes the system uncertain when historical state information would be used. A Lemma on Riemann-Liouville derivative is first given to ensure the monotonicity of the considered function. Then, based on the Lyapunov method, several sufficient criteria are presented to guarantee the Mittag-Leffler stability of the discussed systems. In the end, three examples are applied to illustrate the correctness and applicability of our theoretical conclusions, including practical applications in submarine positioning models.
Hui Li 0087, Yonggui Kao 0001, YangQuan Chen
IEEE Trans. Circuits Syst. I Regul. Pap.1
2022 Uniform Stability of Complex-Valued Neural Networks of Fractional Order With Linear Impulses and Fixed Time Delays
abstract
As a generation of the real-valued neural network (RVNN), complex-valued neural network (CVNN) is based on the complex-valued (CV) parameters and variables. The fractional-order (FO) CVNN with linear impulses and fixed time delays is discussed. By using the sign function, the Banach fixed point theorem, and two classes of activation functions, some criteria of uniform stability for the solution and existence and uniqueness for equilibrium solution are derived. Finally, three experimental simulations are presented to illustrate the correctness and effectiveness of the obtained results.
Hui Li 0087, Yonggui Kao 0001, Haibo Bao, YangQuan Chen
IEEE Trans. Neural Networks Learn. Syst.1
2021 Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses
Yonggui Kao 0001, Hui Li 0087
Sci. China Inf. Sci.2
2020 New stability criterion of fractional-order impulsive coupled non-autonomous systems on networks
Hui Li 0087, Hong-Li Li, Yonggui Kao 0001
Neurocomputing1
2019 Synchronous stability of the fractional-order discrete-time dynamical network system model with impulsive couplings
Hui Li 0087, Yonggui Kao 0001
Neurocomputing1