This paper presents new theoretical results on quasi-projective synchronization (Q-PS) and complete synchronization (CS) of one kind of discrete-time fractional-order delayed neural networks (DFDNNs). At first, three new fractional difference inequalities for exploring the upper bound of quasi-synchronization error and adaptive synchronization are established by dint of Laplace transform and properties of discrete Mittag-Leffler function, which vastly expand a number of available results. Furthermore, two controllers are designed including nonlinear controller and adaptive controller. And on the basis of Lyapunov method, the aforementioned inequalities and properties of fractional-order difference operators, some sufficient synchronization criteria of DFDNNs are derived. Because of the above controllers, synchronization criteria in this paper are less conservative. At last, numerical examples are carried out to illustrate the usefulness of theoretical upshots.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.neunet.2023.05.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Determination of Vibration Properties and Reliable Frequency Estimation for Synchronous Vibrations Through Improved Blade Tip Timing Techniques Without a Once-per-Revolution Sensor.
Sensors (Basel)
January 2025
Institute of Power Plant Technology, Steam and Gas Turbines, RWTH Aachen University, 52062 Aachen, Germany.
Synchronous vibrations, which are caused by periodic excitations, can have a severe impact on the service life of impellers. Blade Tip Timing (BTT) is a promising technique for monitoring synchronous vibrations due to its non-intrusive nature and ability to monitor all blades at once. BTT generally employs a Once-per-Revolution (OPR) sensor that is mounted on the shaft for blade identification and deflection calculation.
View Article and Find Full Text PDFDo Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings.
Sensors (Basel)
January 2025
Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain.
This study evaluated the influence of cycle computers on the accuracy of power and cadence data. The research was divided into three phases: (1) a graded exercise test (GXT) at different constant loads to record power and cadence data; (2) a self-paced effort lasting 1 min to measure mean maximal power output (MMP); and (3) a short all-out effort. Eight cyclists completed the GXT, ten participated in the 1-min test, and thirty participated in the sprint effort.
View Article and Find Full Text PDFFertility-sparing treatment outcomes using immune checkpoint inhibitors in endometrial cancer patients with Lynch syndrome.
J Gynecol Oncol
January 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Objective: To evaluate the efficacy of immune checkpoint inhibitors (ICIs) for fertility-sparing treatment in Lynch syndrome-associated endometrial cancer (LS-EC).
Methods: Four LS-EC cases received programmed cell death protein 1 (PD-1) inhibitors for fertility preservation at the Obstetrics and Gynecology Hospital of Fudan University from 2017 to 2023. The clinical data and long-term outcomes were retrospectively reviewed.
Evaluation of an Interdisciplinary Educational Program to Foster Learning Health Systems: Education Evaluation.
JMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFUnified Mobile App for Streamlining Verbal Autopsy and Cause of Death Assignment in India: Design and Development Study.
JMIR Form Res
January 2025
ICMR-National Institute for Research in Digital Health and Data Science, Ansari Nagar, New Delhi, 110029, India, 91 7840870009.
Background: Verbal autopsy (VA) has been a crucial tool in ascertaining population-level cause of death (COD) estimates, specifically in countries where medical certification of COD is relatively limited. The World Health Organization has released an updated instrument (Verbal Autopsy Instrument 2022) that supports electronic data collection methods along with analytical software for assigning COD. This questionnaire encompasses the primary signs and symptoms associated with prevalent diseases across all age groups.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!